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The endocannabinoid system as a putative target for the development of novel drugs for the treatment of psychiatric illnesses

Published online by Cambridge University Press:  06 September 2023

Matthew N. Hill*
Affiliation:
Departments of Cell Biology and Anatomy & Psychiatry, Cumming School of Medicine, Hotchkiss Brain Institute and The Mathison Centre for Mental Health Research and Education, University of Calgary, Calgary, Canada
Margaret Haney
Affiliation:
Department of Psychiatry, New York State Psychiatric Institute and Columbia University Irving Medical Center, New York, USA
Cecilia J. Hillard
Affiliation:
Department of Pharmacology and Toxicology, Neuroscience Research Center, Medical College of Wisconsin, Milwaukee, USA
Debra S. Karhson
Affiliation:
Department of Psychology, University of New Orleans, New Orleans, USA
Haley A. Vecchiarelli
Affiliation:
Division of Medical Sciences, University of Victoria, Victoria, Canada
*
Corresponding author: Matthew N. Hill; Email: [email protected]
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Abstract

Cannabis is well established to impact affective states, emotion and perceptual processing, primarily through its interactions with the endocannabinoid system. While cannabis use is quite prevalent in many individuals afflicted with psychiatric illnesses, there is considerable controversy as to whether cannabis may worsen these conditions or provide some form of therapeutic benefit. The development of pharmacological agents which interact with components of the endocannabinoid system in more localized and discrete ways then via phytocannabinoids found in cannabis, has allowed the investigation if direct targeting of the endocannabinoid system itself may represent a novel approach to treat psychiatric illness without the potential untoward side effects associated with cannabis. Herein we review the current body of literature regarding the various pharmacological tools that have been developed to target the endocannabinoid system, their impact in preclinical models of psychiatric illness and the recent data emerging of their utilization in clinical trials for psychiatric illnesses, with a specific focus on substance use disorders, trauma-related disorders, and autism. We highlight several candidate drugs which target endocannabinoid function, particularly inhibitors of endocannabinoid metabolism or modulators of cannabinoid receptor signaling, which have emerged as potential candidates for the treatment of psychiatric conditions, particularly substance use disorder, anxiety and trauma-related disorders and autism spectrum disorders. Although there needs to be ongoing clinical work to establish the potential utility of endocannabinoid-based drugs for the treatment of psychiatric illnesses, the current data available is quite promising and shows indications of several potential candidate diseases which may benefit from this approach.

Type
Invited Review
Creative Commons
Creative Common License - CCCreative Common License - BY
This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution and reproduction, provided the original article is properly cited.
Copyright
Copyright © The Author(s), 2023. Published by Cambridge University Press

Cannabis has been widely used for centuries around the world for both recreational and medicinal purposes (Mechoulam & Parker, Reference Mechoulam and Parker2013). Many of the putative medical uses of cannabis often relate to psychiatric conditions, particularly those associated with anxiety, hyperarousal, stress regulation and mood (Mechoulam & Parker, Reference Mechoulam and Parker2013). While cannabis remains illegal in most countries in the world today, there is a strong advocacy and patient-oriented network that purports the medical benefit of this plant. While studying cannabis has been surprisingly difficult in the modern era, various forms of research both support the idea that cannabis may have benefits for some psychiatric conditions and that cannabis use is strongly associated with adverse outcomes and negative disease trajectories, creating a complicated picture regarding its associated potential therapeutic benefits. While cannabis contains dozens, and possibly hundreds, of unique phytocannabinoids, Δ9-tetrahydrocannabinol (THC) was isolated and confirmed as the primary psychoactive constituent of cannabis almost 60 years ago (Gaoni & Mechoulam, Reference Gaoni and Mechoulam1964). The isolation and identification of THC have allowed the field to move forward significantly in understanding the biological mechanisms of cannabis, most importantly through triggering the discovery of the endocannabinoid (eCB) system. The eCB system is composed of eCB molecules themselves, the enzymes which generate and inactivate the eCBs and the receptors through which eCBs and THC exert their effects on physiology (Hillard, Reference Hillard2015). The discovery of the eCB system was a hugely significant advance in the field of cannabinoid pharmacology as it provided both a molecular target for THC and allowed for further exploration of the biological roles and therapeutic potential of harnessing this system.

While many advocacy and patient-oriented groups have argued for the use of whole cannabis as a therapeutic approach, there are several key issues that should be addressed. First, cannabis is a complex plant with varying chemical compositions across different strains or chemovars, most of which have largely unknown biological actions. More so, the interactions that could occur through the co-exposure to these molecules represent an unknown that makes the medical community generally wary of this approach. Typical medications come in standardized dosing and formulations for consistency across time and patients, and currently this is virtually impossible to do with cannabis. Second, approximately 19% of individuals who use cannabis develop a cannabis use disorder (CUD) (Hasin, Reference Hasin2018) and therefore this risk must be factored into any therapeutic approach when considering the benefit v. the potential harms. To date, the few studies that have looked at therapeutic effect of cannabis itself have not found robust outcomes associated with cannabis, and as such the overwhelming view is that the potential harms associated with cannabis itself may likely outweigh its potential to provide therapeutic benefit. Third, chronic use of cannabis is known to be associated with alteration of components of the eCB system (Ceccarini et al., Reference Ceccarini, Kuepper, Kemels, van Os, Henquet and Van Laere2015). This indicates that there is potential for excess use of cannabis to compromise normative eCB function, which in turn could ultimately make a disease process worse if the pathology of that disease already involves dysfunction of the eCB system. Fourth, cannabis use exhibits clear relationships with either the development or worsening of psychiatric conditions (De Aquino et al., Reference De Aquino, Sherif, Radhakrishnan, Cahill, Ranganathan and D'Souza2018), particularly schizophrenia and possibly depression (Sideli, Quigley, La Cascia, & Murray, Reference Sideli, Quigley, La Cascia and Murray2020). While the nature of these relationships is still not entirely clear (Hill, Reference Hill2015), these risks contribute to the potential harms of utilizing cannabis itself as a therapeutic approach. Thus, the notion that cannabis will become a therapeutic tool that is accepted by the broad medical community seems highly unlikely given the adverse effects and risks for harm described above. Contrastingly, there is a wide-spread recognition that there is a biological basis by which cannabis benefits many individuals, which has led to the perspective that there may be differential ways to target the eCB system independent of cannabis, which could still harness the therapeutic potential of the eCB system, without the potential risks and harms associated with cannabis itself. As such, the aim of this review is to provide an up-to-date discussion of pharmacological approaches targeting the eCB system and the current state of knowledge of how these approaches are being tested for certain psychiatric conditions, with a focus on substance use disorders, trauma related disorders, and autism.

The endocannabinoid system and its pharmacology

The eCB system is involved in the regulation of many important brain functions, including emotional responses, control of posture and movement, learning and memory, inflammation, drive to eat and sleep, and sensation of pain (Lutz, Reference Lutz2020). The most well-studied components of the brain eCB system include the cannabinoid receptors, CB1R and CB2R; their endogenous ligands, the eCBs, N-arachidonoylethanolamine (anandamide; AEA) and 2-arachidonolyglycerol (2-AG); and the enzymes and transporters that regulate free eCB concentrations (Hillard, Reference Hillard2015).

Discovery that eCBs are both derivatives of arachidonic acid and highly lipophilic was in accord with the high lipophilicity of THC (Leuschner, Harvey, Bullingham, & Paton, Reference Leuschner, Harvey, Bullingham and Paton1986) and furthered the appreciation of the wide array of chemicals that serve as ligands for G protein-coupled receptors (GPCRs). The identification of the eCB system and the elucidation of its role in the regulation of synaptic transmission has been transformative to our understanding of brain neurochemistry. For example, identification of the cannabinoid receptors provided the long-sought mechanism for the behavioral, physiological and immune effects of THC, that were uncovered in the 1970's and 1980's using classical pharmacological methods (Dewey, Reference Dewey1986). Additionally, identification of the synaptic impact of eCB signaling provided a molecular mechanism for the process of activity-dependent, retrograde regulation of synaptic activity that was functionally characterized in the 1980's (Pitler & Alger, Reference Pitler and Alger1994). Furthermore, the eCB system provided a molecular mechanism by which brain glucocorticoids (Di, Malcher-Lopes, Halmos, & Tasker, Reference Di, Malcher-Lopes, Halmos and Tasker2003; Hill, Karatsoreos, Hillard, & McEwen, Reference Hill, Karatsoreos, Hillard and McEwen2010) and estrogens (Huang & Woolley, Reference Huang and Woolley2012) produce rapid, nongenomic effects in the brain.

A defining feature of the brain eCB system is its involvement in retrograde regulation of neurotransmitter release (Freund, Katona, & Piomelli, Reference Freund, Katona and Piomelli2003). CB1Rs are GPCRs present at high density on axon terminals (Tsou, Brown, Sañudo-Peña, Mackie, & Walker, Reference Tsou, Brown, Sañudo-Peña, Mackie and Walker1998). When CB1Rs are activated by an agonist, G protein-mediated signaling cascades are initiated that result in inhibition of the opening of voltage-gated calcium channels (Mackie & Hille, Reference Mackie and Hille1992; Nogueron, Porgilsson, Schneider, Stucky, & Hillard, Reference Nogueron, Porgilsson, Schneider, Stucky and Hillard2001) and membrane hyperpolarization due to increased opening of potassium channels (Mu, Zhuang, Kirby, Hampson, & Deadwyler, Reference Mu, Zhuang, Kirby, Hampson and Deadwyler1999). These changes result in reduced probability of synaptic vesicle engagement with the axonal membrane and, therefore, reduced neurotransmitter release. CB1Rs are expressed on axonal terminals of several types of neurons, including cortical glutamatergic projection neurons, GABAergic interneurons, medium spiny neurons, and serotonergic neurons (Hillard, Reference Hillard2015). As a result, CB1R activation can inhibit excitatory, inhibitory, and modulatory neurotransmission at a large number of synapses. In addition to these canonical actions of eCB molecules, there is also a rapidly developing appreciation that eCBs may alter neurotransmission through non-canonical mechanisms, including effects on astrocytes and direct actions on mitochondria.

CB1R pharmacology: orthosteric ligands

The phytocannabinoid, Δ9-THC, binds to the CB1R with K I values in the 25–75 nM range (Devane, Dysarz, Johnson, Melvin, & Howlett, Reference Devane, Dysarz, Johnson, Melvin and Howlett1988; Kearn, Greenberg, DiCamelli, Kurzawa, & Hillard, Reference Kearn, Greenberg, DiCamelli, Kurzawa and Hillard1999) and exhibits incomplete efficacy to induce G protein activation, thus is a partial agonist (Burkey, Quock, Consroe, Roeske, & Yamamura, Reference Burkey, Quock, Consroe, Roeske and Yamamura1997; Dutta, Selvam, Das, & Shukla, Reference Dutta, Selvam, Das and Shukla2022). Other plant-derived cannabinoids with agonist activity include Δ8-THC, which is pharmacologically indistinguishable from Δ9-THC (Martin et al., Reference Martin, Compton, Semus, Lin, Marciniak, Grzybowska and Makriyannis1993), and Δ9-tetrahydrocannabiphorol, a THC analog with a seven carbon alkyl side chain in place of the pentyl side chain of THC (Citti et al., Reference Citti, Linciano, Russo, Luongo, Iannotta, Maione and Cannazza2019). Interestingly, another phytocannabinoid, Δ9-tetrahydrocannabivarin (THCV), in which the pentyl is replaced with a propyl side chain, also binds with nanomolar affinity but is an antagonist of the CB1R (Thomas et al., Reference Thomas, Stevenson, Wease, Price, Baillie, Ross and Pertwee2005). 11-Hydroxy-Δ9-THC, formed from Δ9-THC in vivo by the hepatic enzymes cytochrome P450 (CYP)2C9 (primary) and CYP2D6 and CYP2C19 (minor) (Patilea-Vrana, Anoshchenko, & Unadkat, Reference Patilea-Vrana, Anoshchenko and Unadkat2019), has higher affinity for the CB1R (Kearn et al., Reference Kearn, Greenberg, DiCamelli, Kurzawa and Hillard1999) and is at least as active as Δ9-THC as a CB1R agonist (Wiley, Barrus, Farquhar, Lefever, & Gamage, Reference Wiley, Barrus, Farquhar, Lefever and Gamage2021).

Structure-activity studies using the structure of THC as a starting point have identified many additional CB1R agonists, including some with extremely high potency and efficacy in behavioral and physiological assays (Domino, Hardman, & Seevers, Reference Domino, Hardman and Seevers1971; Hardman, Domino, & Seevers, Reference Hardman, Domino and Seevers1971). Levonantradol, developed by scientists at Pfizer (Johnson et al., Reference Johnson, Melvin, Althuis, Bindra, Harbert, Milne and Weissman1981), was studied in clinical trials for its anti-emetic properties (Diasio, Ettinger, & Satterwhite, Reference Diasio, Ettinger and Satterwhite1981). Further modification of the nantradol structure led to the CP family of compounds, including CP55940, that have very high affinity and efficacy and are used in preclinical studies. A completely different structural class of high affinity and high efficacy CB1R agonists, the aminoalkylindoles, was identified and expanded by scientists at Sterling Winthrop (D'Ambra et al., Reference D'Ambra, Estep, Bell, Eissenstat, Josef, Ward and Beglin1992). Unlike the levonantradol/CP series of compounds, WIN 55212-2 is not structurally related to THC and, therefore, not subject to governmental regulations that control access to analogs of THC for research purposes.

High affinity, high efficacy CB1R agonists that are relatively easy to synthesize have been obtained and used by humans outside of medical advice for recreational and medicinal purposes (Coronado-Álvarez et al., Reference Coronado-Álvarez, Romero-Cordero, Macías-Triana, Tatum-Kuri, Vera-Barrón, Budde and Murillo-Rodríguez2021). These synthetic cannabinoid agonists can have serious adverse effects and have been associated with a wide array of severe psychiatric, cardiovascular, and gastrointestinal consequences (Alipour, Patel, Shabbir, & Gabrielson, Reference Alipour, Patel, Shabbir and Gabrielson2019; Courts, Maskill, Gray, & Glue, Reference Courts, Maskill, Gray and Glue2016) and lethality (Giorgetti, Busardò, Tittarelli, Auwärter, & Giorgetti, Reference Giorgetti, Busardò, Tittarelli, Auwärter and Giorgetti2020). This strongly indicates that there is little reason to explore high efficacy CB1R agonists as therapeutic agents.

Currently available direct CB1R agonists, all of which are relatively low efficacy agonists, approved by the US FDA for use in humans include the orally administered compounds nabilone (brand name Cesamet) and dronabinol (synthetic Δ9-THC, brand name Marinol). Nabiximol (brand name Sativex), a 1:1 combination of Δ9-THC and cannabidiol (CBD) extracted from the cannabis plant administered via oromucosal spray, is approved for use in Europe and Canada.

Orthosteric antagonists of the CB1R have been identified. Rimonabant (brand name Acomplia), is a high affinity, brain penetrant, inverse agonist that was approved in Europe for a short time to treat symptoms of metabolic disorder and contribute to the cessation of smoking (Gelfand & Cannon, Reference Gelfand and Cannon2006). It was removed from the market over concerns of psychiatric adverse effects, which included anxiety, insomnia and increased suicidality (Christensen, Kristensen, Bartels, Bliddal, & Astrup, Reference Christensen, Kristensen, Bartels, Bliddal and Astrup2007). This adverse effect profile was predictable based upon what was known even then about the role of the brain eCB system to regulate hedonia and affective states (Hill & Gorzalka, Reference Hill and Gorzalka2009; van der Stelt & Di Marzo, Reference van der Stelt and Di Marzo2003). Newer CB1R antagonists that are unable to enter the brain have been developed with the hypothesis that this drug class will be useful for the treatment of metabolic disorder and will avoid CNS-related adverse effects (Nguyen, Thomas, & Zhang, Reference Nguyen, Thomas and Zhang2019).

CB1R pharmacology: allosteric modulators

Orthosteric agonists, such as THC, bind to the same site of the receptor as the eCBs and can induce signaling at CB1Rs. On the other hand, allosteric ligands (also called allosteric modulators) bind to other regions of the receptor and modulate orthosteric ligand binding and/or signaling. Positive allosteric modulators (PAMs) enhance orthosteric agonist signaling, while negative allosteric modulators (NAMs) inhibit agonist signaling. Thus, PAMs can activate the eCB system, but will do so selectively by potentiating CB1R activity only at receptors with orthosterically bound eCBs, while NAMs will dampen CB1R activity driven by orthosteric CB1R agonists.

Several CB1R PAMs have been identified and characterized. 6-Methyl-3-[2-nitro-1-(thiophen-2-yl)ethyl]-2-phenyl-1H-indole (ZCZ011), increases binding of orthosteric agonists and enhances CB1R signaling (Ignatowska-Jankowska et al., Reference Ignatowska-Jankowska, Baillie, Kinsey, Crowe, Ghosh, Owens and Ross2015). ZCZ011 has been shown to alleviate the effects of THC withdrawal (Trexler, Eckard, & Kinsey, Reference Trexler, Eckard and Kinsey2019). Another indole, 3-(2-nitro-1-phenylethyl)-2-phenyl-1H-indole (GAT211), exhibits both PAM and allosteric agonist activity (i.e. activation of signaling in the absence of an orthosteric agonist) in multiple assays (Laprairie et al., Reference Laprairie, Kulkarni, Deschamps, Kelly, Janero, Cascio and Thakur2017). GAT211 is a racemic mixture of a CB1R allosteric agonist, GAT228, and a CB1R PAM, GAT229, and the dual modulatory effects of the racemic GAT211 likely result from separate effects of the two molecules (Laprairie et al., Reference Laprairie, Kulkarni, Deschamps, Kelly, Janero, Cascio and Thakur2017). GAT211 has been shown to mimic the effects of CB1R agonists to reduce pain, symptoms of psychosis, and symptoms of Huntington's Disease (Garai et al., Reference Garai, Leo, Szczesniak, Hurst, Schaffer, Zagzoog and Thakur2021; Laprairie et al., Reference Laprairie, Bagher, Rourke, Zrein, Cairns, Kelly and Denovan-Wright2019; McElroy et al., Reference McElroy, Roebuck, Scott, Greba, Garai, Denovan-Wright and Howland2021; Slivicki et al., Reference Slivicki, Xu, Kulkarni, Pertwee, Mackie, Thakur and Hohmann2018).

NAMs have also had a fair amount of preclinical development, but a serendipitous finding that the steroid hormone pregnenolone exhibits signaling-specific inhibitory effects at the CB1R (Vallée et al., Reference Vallée, Vitiello, Bellocchio, Hébert-Chatelain, Monlezun, Martin-Garcia and Piazza2014) has driven renewed interest in this potential class of drug as the toxicology and biology of pregnenolone is already established. While synthetic and specific NAMs for the CB1R have not seen significant clinical development, analogs of pregnenolone have been developed, which maintain its ability to selectively inhibit discrete signaling cascades activated by CB1Rs, and are moving through human trials.

CB1R indirect agonism via increased endocannabinoid concentrations

Endocannabinoid availability to CB1Rs is in large part regulated by the summation of their synthesis and degradation (Hillard, Reference Hillard2015). Synthesis of 2-AG is induced by receptors that activate phospholipase C and requires diacylglycerol lipase (DAGL). Mechanisms regulating AEA synthesis are not as well understood, but likely include both constitutive and evoked synthesis. Neither eCB are stored in vesicles and increased free concentrations are associated with increased CB1R activation. Hydrolytic cleavage of the ester and amide bonds of 2-AG and AEA, respectively, results in conversion of the eCBs into free arachidonic acid and is the primary mechanism for their inactivation in brain.

Inactivation of 2-AG

Monoacylglycerol lipase (MAGL), responsible for approximately 80% of 2-AG hydrolysis to arachidonic acid in brain (Blankman, Simon, & Cravatt, Reference Blankman, Simon and Cravatt2007), is enriched in axon terminals (Gulyas et al., Reference Gulyas, Cravatt, Bracey, Dinh, Piomelli, Boscia and Freund2004). MAGL is constitutively active and also present in astrocytes (Viader et al., Reference Viader, Blankman, Zhong, Liu, Schlosburg, Joslyn and Cravatt2015), microglia (Kouchi, Reference Kouchi2015), and oligodendrocytes (Moreno-Luna et al., Reference Moreno-Luna, Esteban, Paniagua-Torija, Arevalo-Martin, Garcia-Ovejero and Molina-Holgado2021). Irreversible MAGL inhibitors including JZL184 (Long et al., Reference Long, Li, Booker, Burston, Kinsey, Schlosburg and Cravatt2009) and MJN110 (Feja et al., Reference Feja, Leigh, Baindur, McGraw, Wakabayashi, Cravatt and Bass2020), and reversible inhibitors based upon a diphenylsulfide-benzoylpiperidine scaffold (Bononi et al., Reference Bononi, Tonarini, Poli, Barravecchia, Caligiuri, Macchia and Tuccinardi2021; Granchi et al., Reference Granchi, Bononi, Ferrisi, Gori, Mantini, Glasmacher and Chicca2021) have been developed.

Preclinical studies have demonstrated that both pharmacological inhibition (Pan et al., Reference Pan, Wang, Long, Sun, Hillard, Cravatt and Liu2009) and genetic deletion (Zhong et al., Reference Zhong, Pan, Gao, Blankman, Cravatt and Liu2011) of MAGL result in significant prolongation of synaptic 2-AG signaling, consistent with a role for MAGL in the termination of 2-AG-mediated CB1R signaling. In further support of this hypothesis, the MAGL inhibitor, JZL184, mimics many of the effects of CB1R direct agonists, including analgesia, hypomotility and hypothermia (Long et al., Reference Long, Li, Booker, Burston, Kinsey, Schlosburg and Cravatt2009). JZL184 also reduces anxiety-like behaviors (Sciolino, Zhou, & Hohmann, Reference Sciolino, Zhou and Hohmann2011) and protects against chronic stress-induced behavioral changes (Sumislawski, Ramikie, & Patel, Reference Sumislawski, Ramikie and Patel2011) in CB1R-dependent manners. Interestingly, MAGL inhibition is also associated with a significant decrease in the concentration of free arachidonic acid in brain (Nomura et al., Reference Nomura, Morrison, Blankman, Long, Kinsey, Marcondes and Cravatt2011). As a result, inhibition of MAGL is associated with reduced neuroinflammation in a traumatic brain injury model (Katz et al., Reference Katz, Sulzer, Impastato, Teng, Rogers and Molina2015) and may be useful for the treatment of neurodegenerative disorders, including Alzheimer's disease (Chen et al., Reference Chen, Zhang, Wu, Wang, Feng, Tang and Chen2012).

Early studies using prolonged or complete inhibition of MAGL activity discovered that chronic elevation of 2-AG could result in down-regulation of CB1Rs (Schlosburg et al., Reference Schlosburg, Blankman, Long, Nomura, Pan, Kinsey and Cravatt2010). Clearly, this would be counterproductive as it leads to a reduction in eCB activity rather than an increase. However, low doses of irreversible inhibitors can avoid this problem (Kinsey et al., Reference Kinsey, Wise, Ramesh, Abdullah, Selley, Cravatt and Lichtman2013); and reversible inhibitors could theoretically provide less persistent MAGL inhibition and avoid prolonged elevation of 2-AG.

MAGL inhibition will selectively enhance CB1R activation with on-going 2-AG-mediated signaling – it will not activate CB1Rs not normally targeted by endogenous 2-AG release. This differentiates MAGL inhibition from direct CB1R agonists, which can increase activity at all CB1Rs. As a result, compared to direct CB1R agonists, it is likely that MAGL inhibition could have fewer adverse or off-target effects.

With respect to the clinical development of MAGL inhibitors, Lu AG06466 is the first MAGL inhibitor in humans that has undergone Phase 1 trials for safety and target efficacy (Cisar et al., Reference Cisar, Weber, Clapper, Blankman, Henry, Simon and Grice2018). Lu AG06466 has been found to bind MAGL, inhibit 2-AG metabolism and produce elevations in 2-AG signaling in humans (Müller-Vahl et al., Reference Müller-Vahl, Fremer, Beals, Ivkovic, Loft and Schindler2022). There has been some initial advancement into Phase 2 trials with this compound, particularly in the domain of tic disorders, although these trials have produced mixed results and beneficial effects seen in pilot work have not been replicated in Phase 2 trials (Müller-Vahl et al., Reference Müller-Vahl, Fremer, Beals, Ivkovic, Loft and Schindler2022).

Other hydrolases can utilize 2-AG as a substrate, including α, β hydrolase-domain containing (ABHD)6 and ABHD12 (Blankman et al., Reference Blankman, Simon and Cravatt2007; Marrs et al., Reference Marrs, Blankman, Horne, Thomazeau, Lin, Coy and Stella2010, Reference Marrs, Horne, Ortega-Gutierrez, Cisneros, Xu, Lin and Stella2011). Pharmacological inhibition of ABHD6 has anti-epileptic effects in a spontaneous seizure mouse model (Naydenov et al., Reference Naydenov, Horne, Cheah, Swinney, Hsu, Cao and Stella2014) and improves coordination and memory performance in a traumatic brain injury model (Tchantchou & Zhang, Reference Tchantchou and Zhang2013). There is no current clinical investigation of pharmacological tools targeting these enzymes and so their potential utility in humans remains unknown.

Inactivation of AEA: hydrolysis

The primary hydrolytic enzyme acting on AEA in the brain is fatty acid amide hydrolase (FAAH) (Cravatt et al., Reference Cravatt, Giang, Mayfield, Boger, Lerner and Gilula1996). FAAH is an intrinsic membrane protein present primarily on intracellular membranes (Hillard, Wilkison, Edgemond, & Campbell, Reference Hillard, Wilkison, Edgemond and Campbell1995). Several studies suggest that FAAH activity is enhanced by protein kinase A-mediated phosphorylation (Gray et al., Reference Gray, Vecchiarelli, Morena, Lee, Hermanson, Kim and Hill2015; Rossi et al., Reference Rossi, Gasperi, Paro, Barsacchi, Cecconi and Maccarrone2007); however, the precise mechanism for this has not been determined.

The development of FAAH inhibitors was one of the first pharmacological interventions developed for the eCB system, with the first FAAH inhibitor, URB597, being introduced almost 20 years ago (Kathuria et al., Reference Kathuria, Gaetani, Fegley, Valiño, Duranti, Tontini and Piomelli2003). URB597 is an irreversible inhibitor of FAAH and in the following years similar carbamate-based inhibitors were developed for preclinical testing. One such irreversible inhibitor with a carbamate structure, ASP8477, advanced into clinical trials in humans for neuropathic pain, but was not found to be effective (Bradford et al., Reference Bradford, Stirling, Ernault, Liosatos, Tracy, Moseley and Smith2017). A similar compound, ASP3652, was also found to be ineffective in a clinical trial for bladder pain (Houbiers et al., Reference Houbiers, van Till, Kaper, Yavuz, Martina, Cerneus and Nordling2021). SSR411298, a reversible FAAH inhibitor with a carbamate structure, showed therapeutic potential in preclinical models of stress exposure (Griebel et al., Reference Griebel, Stemmelin, Lopez-Grancha, Fauchey, Slowinski, Pichat and Bergis2018), but was not found to have any benefit in a trial for geriatric depression (Sanofi, 2013). In 2011, PF-04457845, a highly selective and specific covalent, irreversible inhibitor of FAAH was developed through activity-based protein profiling (Johnson et al., Reference Johnson, Stiff, Lazerwith, Kesten, Fay, Morris and Ahn2011). PF-04457845 underwent Phase 1 testing in humans and was found to be safe, effective at elevating AEA and did not produce any notable adverse events (including a lack of psychoactivity and euphoria, which is seen with THC) (Li et al., Reference Li, Winter, Arends, Jay, Le, Young and Huggins2012). While this compound was found to be ineffective in treating osteoarthritic pain (Huggins, Smart, Langman, Taylor, & Young, Reference Huggins, Smart, Langman, Taylor and Young2012), as we will discuss later, there has been additional clinical testing of this compound which has found some potential utility in the domain of psychiatric conditions. Finally, JNJ42165279 (Postnov et al., Reference Postnov, Schmidt, Pemberton, de Hoon, van Hecken, van den Boer and van Laere2018) is a urea-derived reversible FAAH inhibitor that has also undergone clinical development for affective disorders, which will be discussed in depth later in this review.

Inactivation of eCBs: role of transport proteins

2-AG and AEA are highly hydrophobic molecules, and it is hypothesized that they require protein transporters to translocate aqueous spaces, such as cellular cytosol and the synapse (Kaczocha & Haj-Dahmane, Reference Kaczocha and Haj-Dahmane2021). Several binding proteins for the eCBs have been identified that could serve as chaperones or transporters. For example, several members of the fatty acid binding protein family (FABPs), including FABP5 which is present in brain, bind AEA and 2-AG (Kaczocha, Vivieca, Sun, Glaser, & Deutsch, Reference Kaczocha, Vivieca, Sun, Glaser and Deutsch2012). Preclinical studies using SBFI-26, which prevents binding of eCBs to FABP5 (Hsu et al., Reference Hsu, Tong, Zhou, Elmes, Yan, Kaczocha and Li2017), provide evidence that FABP5 is required for some eCB activity. For example, inhibition of FABP5 reduces both tonic and phasic CB1R regulation of glutamate release in the dorsal raphe nucleus (Haj-Dahmane et al., Reference Haj-Dahmane, Shen, Elmes, Studholme, Kanjiya, Bogdan and Kaczocha2018), suggesting that eCB binding to FABP5 is required for 2-AG mobilization. On the other hand, inhibition of FABP5 in a murine model of high intraocular pressure reduced pressure in a CB1R-dependent manner (Miller et al., Reference Miller, Daily, Dharla, Gertsch, Malamas, Ojima and Straiker2020), suggesting that FABP5 is involved in eCB inactivation in this circumstance.

There is evidence that sterol carrier protein 2 (SCP-2) could also function as an intracellular transport protein for the eCBs. SCP-2 binds to both AEA and 2-AG with K i values in the nanomolar range (Hillard et al., Reference Hillard, Huang, Vogt, Rodrigues, Neumann, Sem and Cunningham2017) and overexpression of SCP-2 enhances the cellular accumulation of AEA (Liedhegner, Vogt, Sem, Cunningham, & Hillard, Reference Liedhegner, Vogt, Sem, Cunningham and Hillard2014). SCP-2 is enriched in synaptosomal preparations (Myers-Payne et al., Reference Myers-Payne, Fontaine, Loeffler, Pu, Rao, Kier and Schroeder1996), supporting its ability to regulate eCB concentrations at synapses. Interestingly, the AEA clearance inhibitor, AM404, binds to SCP-2 (Hillard et al., Reference Hillard, Huang, Vogt, Rodrigues, Neumann, Sem and Cunningham2017) which could contribute, along with FAAH inhibition (Jarrahian, Manna, Edgemond, Campbell, & Hillard, Reference Jarrahian, Manna, Edgemond, Campbell and Hillard2000), to its efficacy as an indirect CB1R agonist.

Early studies of the characteristics of neuronal accumulation of AEA supported the existence of a plasma membrane protein transporter that participates in facilitated diffusion to promote AEA movement across membranes (Hillard & Jarrahian, Reference Hillard and Jarrahian2003). This concept is supported by recent studies using WOBE437 (Chicca et al., Reference Chicca, Nicolussi, Bartholomäus, Blunder, Aparisi Rey, Petrucci and Gertsch2017). WOBE437 inhibits AEA accumulation and mimics many effects of cannabinoid agonists, including analgesic, anxiolytic and anti-inflammatory effects. Thus, WOBE437, and more importantly, its target protein, could be another avenue for the development of indirect agonists for AEA signaling. There is some recent work, as well, that pannexin channels may be able to transport AEA across lipid membranes (Bialecki et al., Reference Bialecki, Werner, Weilinger, Tucker, Vecchiarelli, Egaña and Thompson2020), although this requires additional characterization.

Taken together, there are several different pharmacological options for targeting the eCB system. The direct CB1R agonist, THC, has been used by humans for thousands of years for various medicinal and recreational purposes. Although humans report that cannabis elevates mood and reduces feelings of anxiety (Andrade, Renda, & Murray, Reference Andrade, Renda and Murray2019; Stanciu, Brunette, Teja, & Budney, Reference Stanciu, Brunette, Teja and Budney2021), cannabis use can also result in postural instability, interference with vehicle driving skills, and abuse liability and furthermore, its use is associated with the development or exacerbation of psychiatric conditions like schizophrenia (Arnold, Reference Arnold2021). THC is a CB1R partial agonist – recent human experience with full efficacy agonists indicates that enhanced efficacy might produce more robust therapeutic effects but with a tradeoff of far greater risk for significant adverse effects. While there is room for improved formulations of existing direct partial agonists and for partial agonists with better oral bioavailability, it is not likely that direct agonists could be developed that are better than those already available (i.e. THC and levonantradol). CB1R antagonists, on the other hand, have gone through clinical development and trials but given the development of adverse psychiatric side effects (particularly depression and anxiety), as well as their apparent lack of efficacy in other psychiatric conditions such as schizophrenia, it seems unlikely that this class of drug will be pursued as therapeutic option for psychiatric conditions.

Indirect agonists, which inhibit inactivation of the eCBs, can avoid some of the adverse effects of a direct agonist because they enhance activation of CB1R signaling that is already engaged. This is the basis for the development of FAAH and MAGL inhibitors as eCB system-activating therapeutics. While it is still early days, the currently available data suggest that drugs with these mechanisms are safe, although their modest efficacy suggests that they may need to be combined with other therapeutics. Not surprising given the different roles of 2-AG and AEA as CB1R agonists (deRoon-Cassini, Stollenwerk, Beatka, & Hillard, Reference deRoon-Cassini, Stollenwerk, Beatka and Hillard2020), preclinical studies have found that FAAH and MAGL inhibitors have non-overlapping effects [for example (Busquets-Garcia et al., Reference Busquets-Garcia, Puighermanal, Pastor, de la Torre, Maldonado and Ozaita2011)] which could allow for better ‘tuning’ of the drug to the condition to be treated. The recent discoveries that both eCBs bind to transporter proteins provide additional opportunities to develop novel, indirect compounds that could potentiate or synergize with the enzyme inhibitors. PAMs also represent an appealing approach to selective activation of CB1R signaling and could have advantages over indirect agonists since they are selective for CB1R signaling, while the indirect agonists could affect all molecules that are substrates for the enzyme or transporter that is being targeted. Although promising, CB1R PAMs have not undergone Phase I testing in humans, so their adverse effect profile and clinical utility are unknown.

To date, there are three disease classes that have both strong preclinical data and some early encouraging clinical data, indicating that there may be some potential for targeting the eCB system. These diseases are substance use disorders, anxiety/stress-related psychiatric conditions and autism spectrum disorder (ASD). The remainder of this review will focus on the current state of knowledge for each of these conditions to highlight where the field is at and where it is moving.

Substance use disorders

Preclinical studies demonstrate that modulating the eCB system influences positive reinforcement, anxiety, stress-induced craving, and relapse to substance use (Parsons & Hurd, Reference Parsons and Hurd2015). These effects suggest that eCB-based pharmacotherapies can be developed for discrete aspects of substance use: one approach is to directly reduce the positive reinforcing and subjective effects of a substance, while another approach is to reduce withdrawal symptoms, craving and the likelihood of recurrence in people who are abstinent. With these approaches in mind, the objective of this section is to describe studies testing eCB-related medications for the treatment of the three substances with the most clinical study: cannabis, tobacco, and alcohol.

Cannabis use disorder

Human laboratory studies have shown that the CB1R antagonist/inverse agonist, rimonabant (40, 90 mg), attenuated the subjective effects of smoked cannabis (Huestis et al., Reference Huestis, Gorelick, Heishman, Preston, Nelson, Moolchan and Frank2001, Reference Huestis, Boyd, Heishman, Preston, Bonnet, Le Fur and Gorelick2007). However, further study of this interaction was halted when rimonabant was shown to produce serious psychiatric side effects, such as depression, anxiety and suicidality when given repeatedly (20 mg/day) (Christensen et al., Reference Christensen, Kristensen, Bartels, Bliddal and Astrup2007).

An alternative to directly blocking cannabis's effects at the CB1R is to focus on its secondary-signaling effects. Agonists at the CB1R initiate a series of intracellular signaling cascades (Turu & Hunyady, Reference Turu and Hunyady2010), a subset of which can be inhibited by the endogenous steroid, pregnenolone, which as described above acts as a signaling-specific inhibitor of the CB1R, and so acts independently of blocking CB1R orthosteric agonist binding (Vallée et al., Reference Vallée, Vitiello, Bellocchio, Hébert-Chatelain, Monlezun, Martin-Garcia and Piazza2014). Preclinical studies show that this selective inhibition decreases the positive subjective and reinforcing effects of CB1R agonists (Vallée et al., Reference Vallée, Vitiello, Bellocchio, Hébert-Chatelain, Monlezun, Martin-Garcia and Piazza2014).

Aelis Farma has developed a pregnenolone analog, AEF0117, that maintains the pharmacodynamic characteristics of pregnenolone but is not metabolized to active steroids, is well absorbed, has a long half-life, and does not produce behaviors associated with rimonabant (e.g. increased anxiety-like behavior, decreased food intake). We recently described evidence supporting this approach for the treatment of CUD: early-phase clinical studies with AEF0117 show that it is well tolerated in both healthy volunteers and people who use cannabis daily (no evidence of precipitating withdrawal) and reduces the positive subjective and reinforcing effects of smoked cannabis (Haney et al., Reference Haney, Vallée, Fabre, Collins Reed, Zanese, Campistron and Piazza2023). These findings led support to an ongoing multi-site randomized, placebo-controlled clinical trial to test AEF0117 in patients seeking treatment for CUD.

Another approach is to reduce the likelihood of cannabis withdrawal in those who are abstinent. Daily cannabis use is associated with a range of adaptations in the eCB system, including selective and reversible downregulation of CB1Rs [e.g. (Hirvonen et al., Reference Hirvonen, Goodwin, Li, Terry, Zoghbi, Morse and Innis2012; Spindle et al., Reference Spindle, Kuwabara, Eversole, Nandi, Vandrey, Antoine and Weerts2021)], as well as in changes in brain levels of FAAH (Boileau et al., Reference Boileau, Mansouri, Williams, Le Foll, Rusjan, Mizrahi and Tong2016) and circulating eCBs [see (Jacobson et al., Reference Jacobson, Watts, Da Silva, Tyndale, Rusjan, Houle and Mizrahi2021) for review] relative to people who do not use cannabis. Blunted eCB activity due to downregulated CB1Rs and increased levels of FAAH may contribute to symptoms of cannabis withdrawal.

In support of this idea, orally administered CB1R agonists have been found to consistently reduce symptoms of cannabis withdrawal. These medications also improve clinical trial retention and show minimal evidence of misuse (likely due to the slow onset and long duration of oral cannabinoids), but have not been shown to significantly reduce cannabis use in clinical trials (Brezing & Levin, Reference Brezing and Levin2018). An important caveat to these negative clinical trials is that they mostly test patients currently using cannabis. It may be that agonist replacement will work best in those who are abstinent from cannabis to truly assess relapse prevention, but this is difficult to achieve in CUD patients.

An alternative to administering CB1R agonists is to increase concentrations of endogenous cannabinoids by blocking their enzymatic degradation. FAAH inhibition elevates AEA levels and attenuates precipitated THC withdrawal preclinically without producing evidence of THC-like intoxication (Justinova et al., Reference Justinova, Mangieri, Bortolato, Chefer, Mukhin, Clapper and Goldberg2008; Schlosburg et al., Reference Schlosburg, Carlson, Ramesh, Abdullah, Long, Cravatt and Lichtman2009). In recently abstinent men with CUD, FAAH inhibition with PF-04457845 reduced cannabis withdrawal symptoms and cannabis use (D'Souza et al., Reference D'Souza, Cortes-Briones, Creatura, Bluez, Thurnauer, Deaso and Skosnik2019). An ongoing multi-site randomized clinical trial is testing PF-04457845 as a potential treatment for CUD (D'Souza, Reference D'Souza2022). We will soon learn whether this approach is superior to exogenous CB1R agonist approaches.

Tobacco (Nicotine) use disorder (TUD)

Although it was not surprising that rimonabant reduced the subjective effects of cannabis, evidence that this medication also reduces the reinforcing effects of nicotine was one of many clues that targeting the eCB may have potential to treat a range of SUDs. To start preclinically, CB1R antagonists reduce nicotine reinforcement [see (Saravia, Ten-Blanco, Pereda-Pérez, & Berrendero, Reference Saravia, Ten-Blanco, Pereda-Pérez and Berrendero2021; Spanagel, Reference Spanagel2020)], presumably by blocking eCBs from disinhibiting dopaminergic neurons in the ventral tegmental area [see (Asth, Santos, & Moreira, Reference Asth, Santos and Moreira2022; Butler & Le Foll, Reference Butler and Le Foll2020)]. These findings appear consistent with human imaging data [summarized by (Hirvonen et al., Reference Hirvonen, Zanotti-Fregonara, Gorelick, Lyoo, Rallis-Frutos, Morse and Innis2018)] – with cannabis, THC acts on CB1Rs directly and thereby downregulates CB1Rs in neocortical brain regions but not in the basal ganglia, midbrain, or cerebellum. People who use tobacco, by contrast, have downregulated CB1Rs in all brain regions assessed, perhaps reflecting widespread, repeated stimulation of endocannabinoid signaling by nicotine.

In a large clinical trial (n = 2097), rimonabant administration (20 mg/day, but not 5 mg/day, for 10 weeks) produced significantly greater tobacco abstinence rates and less weight gain relative to placebo. Yet as was seen in the metabolic disorder studies, rimonabant also increased the incidence of adverse events (e.g. nausea, diarrhea, anxiety), and the likelihood of suicidality compared to placebo when taken for 1 year (Robinson et al., Reference Robinson, Cinciripini, Karam-Hage, Aubin, Dale, Niaura and Group2018). Although these findings eliminate rimonabant as an option, the data nonetheless suggest that further investigation of eCB medications is warranted as a potentially novel approach to smoking cessation treatment.

Perhaps counter-intuitively, FAAH inhibitors, which increase CB1R agonist activity rather than block it like rimonabant, also attenuated both nicotine self-administration and reinstatement of nicotine seeking in rats and non-human primates, and decreased nicotine-induced dopaminergic activity [see (Sagheddu, Torres, Marcourakis, & Pistis, Reference Sagheddu, Torres, Marcourakis and Pistis2020)]. Alternately, aside from metabolizing AEA, FAAH also metabolizes a family of fatty acid ethanolamides which do not act on CB1Rs but could still be relevant in the potential actions of FAAH inhibitors in TUD. Preclinical studies show that palmitoylethanolamide (PEA) and oleoylethanolamide (OEA), both of which are elevated following inhibition of FAAH, reduce nicotine reward via their effects on peroxisome proliferator-activated receptor (PPAR)α, likely by reducing nicotine's effects on dopamine neurons [see (Melis & Pistis, Reference Melis and Pistis2014; Sagheddu et al., Reference Sagheddu, Torres, Marcourakis and Pistis2020)]. Although the PPARα agonists, gemfibrozil and fenofibrate, did not reduce tobacco use clinically (Gendy et al., Reference Gendy, Di Ciano, Kowalczyk, Barrett, George, Heishman and Le Foll2018; Perkins et al., Reference Perkins, Karelitz, Michael, Fromuth, Conklin, Chengappa and Lerman2016), these medications have poor brain penetrability, so this approach cannot be ruled out as a potential novel treatment for TUD (Sagheddu et al., Reference Sagheddu, Torres, Marcourakis and Pistis2020). Thus, there appears to be significant potential for medications that either target the eCB or target the same family as eCBs to treat TUD. To our knowledge, FAAH inhibitors have not yet been tested clinically for the treatment of TUD.

Alcohol use disorder (AUD)

Individuals with AUD have widespread downregulation of the CB1R in both cortical and subcortical brain regions that do not appear to reverse even after 4 weeks of abstinence (Hirvonen et al., Reference Hirvonen, Zanotti-Fregonara, Umhau, George, Rallis-Frutos, Lyoo and Heilig2013). As noted above for tobacco cigarette smokers, the pattern of CB1R downregulation supports the hypothesis that chronic alcohol use downregulates CB1Rs by increasing endogenous cannabinoid activity (Hirvonen et al., Reference Hirvonen, Zanotti-Fregonara, Gorelick, Lyoo, Rallis-Frutos, Morse and Innis2018). In addition to CB1R downregulation, patients with AUD in early abstinence (3–7 days) have reduced brain FAAH levels and elevated levels of AEA and OEA in plasma relative to healthy controls, which appeared to recover after 2–4 weeks of abstinence (Best et al., Reference Best, Williams, Le Foll, Mansouri, Bazinet, Lin and Boileau2020). These data suggest that alcohol alters eCB activity and that the eCB system is a potential target for the treatment of AUD.

In support, preclinical studies show that CB1R antagonists, including those restricted to the periphery, reduce alcohol self-administration [for review, see (Godlewski et al., Reference Godlewski, Cinar, Coffey, Liu, Jourdan, Mukhopadhyay and Kunos2019; Sagheddu et al., Reference Sagheddu, Torres, Marcourakis and Pistis2020; Soyka et al., Reference Soyka, Koller, Schmidt, Lesch, Leweke and Fehr2008)]. However, this effect has not been translated clinically. Rimonabant, at the same dose shown to reduce tobacco cigarette use (20 mg/day), was tested in a double-blind, placebo-controlled study in recently detoxified alcohol-dependent patients. In the rimonabant group, 41.5% relapsed compared to 47.7% in the placebo group. Consistent with rimonabant's effects in other populations, the AUD patients taking rimonabant lost more weight than those receiving placebo (Soyka et al., Reference Soyka, Koller, Schmidt, Lesch, Leweke and Fehr2008). The number of adverse events, however, did not vary as a function of dose in this study.

As with TUD, there is preclinical evidence that the fatty acid ethanolamide, OEA, reduces measures of alcohol withdrawal and alcohol-seeking [see (Orio, Alen, Pavón, Serrano, & García-Bueno, Reference Orio, Alen, Pavón, Serrano and García-Bueno2018; Sagheddu et al., Reference Sagheddu, Torres, Marcourakis and Pistis2020)]. Preclinical studies also show that PPARα agonists, alone or in combination with CB1R antagonists, reduce alcohol self-administration or voluntary drinking [see (Sagheddu et al., Reference Sagheddu, Torres, Marcourakis and Pistis2020)]. There are no published clinical studies with PPARα agonists to date but they appear to be warranted (Matheson & Le Foll, Reference Matheson and Le Foll2020).

To conclude, the eCB system is clearly involved in the mechanism by which a range of substances produce their reinforcing effects. CB1R antagonists directly attenuate the positive subjective effects of cannabis, but also reduce the rewarding and reinforcing effects of non-cannabinoid substances, likely by blocking eCBs from disinhibiting dopaminergic neurons in the ventral tegmental area (Asth et al., Reference Asth, Santos and Moreira2022; Soyka et al., Reference Soyka, Koller, Schmidt, Lesch, Leweke and Fehr2008). Studies by Mantsch and colleagues suggest that another potential use for CB1R antagonists could be in the prevention of stress-induced relapse to drug taking (McReynolds et al., Reference McReynolds, Doncheck, Li, Vranjkovic, Graf, Ogasawara and Mantsch2018, Reference McReynolds, Doncheck, Vranjkovic, Ganzman, Baker, Hillard and Mantsch2016). The mechanism involves glucocorticoid mobilization of eCB signaling, which disinhibits PFC to ventral striatal afferents and potentiates reward-driven behavior. The significant adverse effects produced by orthosteric CB1R antagonists, however, suggest that blocking the CB1R is not a feasible long-term pharmacotherapy because tonic eCB activity is essential for mood and reward processing. Their potential usefulness as a short-term therapy has not been explored.

There is some preclinical evidence to suggest that a component of rimonabant's mood-related adverse effects may reflect its inverse agonist properties, as neutral CB1R antagonists decrease nicotine, alcohol and heroin self-administration without producing the same anxiety-like behavior in animals [see (Galaj & Xi, Reference Galaj and Xi2019)]. However, as mentioned above, there are also preclinical data indicating that tonic eCB-mediated signaling is essential for the maintenance of mood, particularly hedonia (Bluett et al., Reference Bluett, Báldi, Haymer, Gaulden, Hartley, Parrish and Patel2017), so this strategy may not extend to non-anxiety adverse effects. NAMs and signaling-specific inhibitors of the CB1R appear to be well-tolerated and reduce cannabis intoxication and use without producing the adverse effects associated with rimonabant. Reducing cannabis intoxication may be a particularly fruitful approach for the treatment of CUD, as the majority of patients seeking treatment continue to use cannabis, so directly reducing its effects may facilitate a reduction in use. FAAH inhibitors are also of considerable interest for CUD treatment, perhaps most efficaciously for those who are abstinent from cannabis use to reduce the likelihood of recurrence. An ongoing multi-site trial will be highly informative regarding this approach.

Overall, given the compelling preclinical data on the potential for medications that target the eCB system or related molecules to treat SUDs, more medications available for clinical research are needed to translate these findings into clinical studies and potentially develop novel approaches for SUD treatment.

Stress-related psychiatric disorders

The eCB system is well established to be a central regulator of stress responsivity and can influence activity through distributed neural circuits important for emotion and affect (Morena, Patel, Bains, & Hill, Reference Morena, Patel, Bains and Hill2016). Preclinical work has detailed a complex, but largely consistent, role for eCB in both the basal regulation of stress and affect in the absence of any threats, as well as an important buffer system limiting the magnitude and duration of stress responses once an aversive stimuli or experience is encountered (Morena et al., Reference Morena, Patel, Bains and Hill2016). Within the amygdala, there is constitutive signaling of AEA at CB1Rs on glutamatergic terminals which constrains excitatory transmission in both the basolateral and central nuclei of the amygdala (Bedse et al., Reference Bedse, Hartley, Neale, Gaulden, Patrick, Kingsley and Patel2017; Natividad et al., Reference Natividad, Buczynski, Herman, Kirson, Oleata, Irimia and Parsons2017; Yasmin et al., Reference Yasmin, Colangeli, Morena, Filipski, van der Stelt, Pittman and Chattarji2020). In response to stress exposure, the rapid release of corticotropin-releasing hormone causes a rapid induction of FAAH activity, which in turn results in a depletion of the synaptic signaling pool of AEA (Gray et al., Reference Gray, Vecchiarelli, Morena, Lee, Hermanson, Kim and Hill2015; Natividad et al., Reference Natividad, Buczynski, Herman, Kirson, Oleata, Irimia and Parsons2017). This loss of AEA signaling at excitatory synapses results in an increase in glutamate release (Yasmin et al., Reference Yasmin, Colangeli, Morena, Filipski, van der Stelt, Pittman and Chattarji2020), which then increases the activity of post-synaptic output neurons. This loss of AEA signaling within the amygdala is sufficient to trigger the generation of a behavioral state of anxiety and may also contribute to the activation of a stress response (Morena et al., Reference Morena, Patel, Bains and Hill2016). Accordingly, genetic or pharmacological inhibition of FAAH can prevent this rapid loss of AEA signaling from stress (Hill et al., Reference Hill, Kumar, Filipski, Iverson, Stuhr, Keith and McEwen2013; Mayo et al., Reference Mayo, Asratian, Lindé, Holm, Nätt, Augier and Heilig2020a), and in turn, can counter many effects of different types of stress, including elevations in anxiety (Bedse et al., Reference Bedse, Hartley, Neale, Gaulden, Patrick, Kingsley and Patel2017; Bluett et al., Reference Bluett, Gamble-George, Hermanson, Hartley, Marnett and Patel2014; Campos, Ferreira, Guimarães, & Lemos, Reference Campos, Ferreira, Guimarães and Lemos2010; Danandeh et al., Reference Danandeh, Vozella, Lim, Oveisi, Ramirez, Mears and Piomelli2018; Griebel et al., Reference Griebel, Stemmelin, Lopez-Grancha, Fauchey, Slowinski, Pichat and Bergis2018; Haller, Goldberg, Pelczer, Aliczki, & Panlilio, Reference Haller, Goldberg, Pelczer, Aliczki and Panlilio2013; Hill et al., Reference Hill, Kumar, Filipski, Iverson, Stuhr, Keith and McEwen2013), inhibition of fear extinction (Ganon-Elazar & Akirav, Reference Ganon-Elazar and Akirav2009; Morena et al., Reference Morena, Berardi, Colucci, Palmery, Trezza, Hill and Campolongo2018), suppression of feeding (Sticht et al., Reference Sticht, Lau, Keenan, Cavin, Morena, Vemuri and Hill2019) and activation of the hypothalamic-pituitary-adrenal (HPA) axis (Bedse et al., Reference Bedse, Colangeli, Lavecchia, Romano, Altieri, Cifani and Gaetani2014; Hill et al., Reference Hill, McLaughlin, Morrish, Viau, Floresco, Hillard and Gorzalka2009; Navarria et al., Reference Navarria, Tamburella, Iannotti, Micale, Camillieri, Gozzo and Di Marzo2014; Patel, Roelke, Rademacher, Cullinan, & Hillard, Reference Patel, Roelke, Rademacher, Cullinan and Hillard2004).

In addition to these anti-stress actions of FAAH inhibitors, AEA signaling also plays an important role in fear regulation. Fear extinction training has been found to elevate AEA signaling in the amygdala (Gunduz-Cinar et al., Reference Gunduz-Cinar, MacPherson, Cinar, Gamble-George, Sugden, Williams and Holmes2013; Marsicano et al., Reference Marsicano, Wotjak, Azad, Bisogno, Rammes, Cascio and Lutz2002; Morena et al., Reference Morena, Nastase, Santori, Cravatt, Shansky and Hill2021), and blockade of the CB1R can impair normative fear extinction while FAAH inhibition can augment fear extinction (Chhatwal et al., Reference Chhatwal, Gutman, Maguschak, Bowser, Yang, Davis and Ressler2009; Chhatwal, Davis, Maguschak, & Ressler, Reference Chhatwal, Davis, Maguschak and Ressler2005; Fidelman, Mizrachi Zer-Aviv, Lange, Hillard, & Akirav, Reference Fidelman, Mizrachi Zer-Aviv, Lange, Hillard and Akirav2018; Gunduz-Cinar et al., Reference Gunduz-Cinar, MacPherson, Cinar, Gamble-George, Sugden, Williams and Holmes2013; Marsicano et al., Reference Marsicano, Wotjak, Azad, Bisogno, Rammes, Cascio and Lutz2002). Taken together, the current body of preclinical work indicates that AEA signaling can counter stress, fear and anxiety, largely through its ability to gate excitability of neurons in the amygdala.

Translational studies have found very similar effects in humans who have elevations in AEA signaling. The most abundant source of evidence in humans comes from genetic studies. The FAAH gene in humans is known to possess a relatively common, functional single nucleotide polymorphism (SNP) in which a cytosine is replaced by an adenine, resulting in an amino acid substitution in the protein where a proline is replaced by a threonine (typically referred to as the C385A or P129T SNP) (Chiang, Gerber, Sipe, & Cravatt, Reference Chiang, Gerber, Sipe and Cravatt2004). The variant of FAAH seen in the C385A SNP exhibits increased proteolytic degradation relative to the native form of the protein, resulting in destabilization of the protein and a consequential 40–50% reduction in protein expression of FAAH (Chiang et al., Reference Chiang, Gerber, Sipe and Cravatt2004; Dincheva et al., Reference Dincheva, Drysdale, Hartley, Johnson, Jing, King and Lee2015). This reduction in FAAH expression results in a moderate elevation of AEA signaling (approximately a 20% elevation in AEA levels) (Chiang et al., Reference Chiang, Gerber, Sipe and Cravatt2004; Dincheva et al., Reference Dincheva, Drysdale, Hartley, Johnson, Jing, King and Lee2015). As such, humans who possess the rare variant of the C385A FAAH SNP represent a population who have elevations in AEA signaling. Consistent with what has been found in the rodent literature, humans bearing the C385A FAAH SNP exhibit lower levels of trait anxiety, blunted reactivity of the amygdala in response to threat, increased functional and structural connectivity between the ventromedial prefrontal cortex and the amygdala and enhanced fear extinction (Demers, Drabant Conley, Bogdan, & Hariri, Reference Demers, Drabant Conley, Bogdan and Hariri2016; Dincheva et al., Reference Dincheva, Drysdale, Hartley, Johnson, Jing, King and Lee2015; Gärtner et al., Reference Gärtner, Dörfel, Diers, Witt, Strobel and Brocke2019; Gee et al., Reference Gee, Fetcho, Jing, Li, Glatt, Drysdale and Consortium2016; Green et al., Reference Green, Kim, Kish, Tyndale, Hill, Strafella and Boileau2021; Gunduz-Cinar et al., Reference Gunduz-Cinar, MacPherson, Cinar, Gamble-George, Sugden, Williams and Holmes2013; Hariri et al., Reference Hariri, Gorka, Hyde, Kimak, Halder, Ducci and Manuck2009; Sisk et al., Reference Sisk, Rapuano, Conley, Greene, Horien, Rosenberg and Gee2022; Zabik et al., Reference Zabik, Iadipaolo, Marusak, Peters, Burghardt and Rabinak2022). Individuals with PTSD who possess this FAAH SNP also exhibit reduced symptoms of arousal and blunted stress-induced anxiety (Spagnolo et al., Reference Spagnolo, Ramchandani, Schwandt, Kwako, George, Mayo and Heilig2016), as well as enhanced treatment responses to virtual reality-assisted psychotherapy with D-cycloserine augmentation, particularly in those who have comorbid major depression and PTSD (Difede et al., Reference Difede, Rothbaum, Rizzo, Wyka, Spielman, Reist and Lee2022). As such, this represents a rare case of positive translation from basic science rodent studies to human subjects with genetic variance, where all the converging evidence indicates that elevations in AEA signaling confers some resilience to the effects of stress, particularly with respect to anxiety, and that these effects likely relate to blunted neural activity in the amygdala (Mayo, Rabinak, Hill, & Heilig, Reference Mayo, Rabinak, Hill and Heilig2022).

The development of FAAH inhibitors in humans has led to further clinical investigation regarding the potential of FAAH inhibitors. Four days of administration of the reversible FAAH inhibitor JNJ-42165279 was found to blunt activation of the amygdala in response to threat cues in healthy humans (Paulus et al., Reference Paulus, Stein, Simmons, Risbrough, Halter and Chaplan2021), paralleling what was found in humans who possess the FAAH C385A SNP (Hariri et al., Reference Hariri, Gorka, Hyde, Kimak, Halder, Ducci and Manuck2009) and in animal studies showing that FAAH inhibitors can blunt stress-induced increases in excitatory neurotransmission within the amygdala (Yasmin et al., Reference Yasmin, Colangeli, Morena, Filipski, van der Stelt, Pittman and Chattarji2020). This outcome is consistent with other classic anxiolytic drugs. This study, however, did not find any significant impact of FAAH inhibition on fear conditioning or extinction. A second similar study performed in healthy research participants utilized 10-day treatment with the irreversible FAAH inhibitor PF-04457845. At the conclusion of the 10-day administration, participants were exposed to a stress challenge and fear conditioning and extinction. FAAH inhibition was found to dramatically reduce stress-induced autonomic responses and moderately dampen stress-induced affective changes while having no impact on the HPA axis response to stress (Mayo et al., Reference Mayo, Asratian, Lindé, Morena, Haataja, Hammar and Heilig2020b). More so, unlike the previous study, here FAAH inhibition was found to augment fear extinction while having no impact on fear conditioning itself (Mayo et al., Reference Mayo, Asratian, Lindé, Morena, Haataja, Hammar and Heilig2020b). As such, these short-term pharmacological studies in humans generally support the previous literature and suggest that there may be some therapeutic potential for FAAH inhibition for the management of anxiety and stress-related psychiatric disorders.

In line with this prediction, there have been some initial clinical trials in disease states with the FAAH inhibitors which encourage further work. First, as previously mentioned in the SUD section, FAAH inhibition has been examined in the context of CUD and while the primary outcomes of that study related to the recurrence of cannabis use, it is important to note that elevations in anxiety seen following the cessation of cannabis were found to be significantly attenuated by treatment with the PF-04457845 FAAH inhibitor (D'Souza et al., Reference D'Souza, Cortes-Briones, Creatura, Bluez, Thurnauer, Deaso and Skosnik2019). A 12-week multi-center trial for social anxiety disorder was also performed with the JNJ-42165279 FAAH inhibitor. Within this trial, there was no significant main effect of the FAAH inhibitor in social anxiety disorder; however, the proportion of research participants who experienced a much improved or very much improved end point score on their Clinical Global Inventory was significantly increased for those who had been treated with the FAAH inhibitor (Schmidt et al., Reference Schmidt, Liebowitz, Stein, Grunfeld, Van Hove, Simmons and Drevets2021). While this outcome was minor, it is important to note that some of this lack of effect may be related to pharmacokinetics of the drug. Specifically, it was found that for the majority of participants on the FAAH inhibitor, elevations in plasma AEA were not seen, suggesting sub-optimal dosing. Interestingly however, once participants were stratified based on whether their trough levels of AEA were increased, it was found that those who exhibited the largest increases in AEA following treatment with the FAAH inhibitor also exhibited the greatest reduction in anxiety symptoms (Schmidt et al., Reference Schmidt, Liebowitz, Stein, Grunfeld, Van Hove, Simmons and Drevets2021). As such, while this trial suffered from technical issues, the outcome data do suggest some potential benefit of FAAH inhibition in the context of treating social anxiety disorder. There is currently an ongoing trial with this FAAH inhibitor for PTSD (clinical trial EudraCT 2020-001965-36), as well as a large multi-site trial for PTSD with PF-04457845 (now called JZP150 since acquisition of this compound by Jazz Pharmaceuticals; clinical trial NCT05178316). The outcomes of both of these trials will be very informative with respect to the potential of FAAH inhibition for the treatment of PTSD.

While there is some optimism for a potential role for FAAH inhibition in the treatment of PTSD and anxiety disorders, the same cannot be said for depression, another stress-related psychiatric disorder. As mentioned earlier, a trial from Sanofi looking at FAAH inhibition for the treatment of geriatric depression was not found to produce benefit. More so, in tandem with the social anxiety disorder trial discussed above, a trial for JNJ-42165279 for anxious depression was also run, but similarly was found to produce no benefit (Janssen Research & Development, LLC, 2022). As such, it seems unlikely that there will be a therapeutic role for FAAH inhibitors in the treatment of depression.

Autism spectrum disorder

ASD is one of the newest areas to explore the utility of eCB modulation for therapeutic intervention. ASD is a neurodevelopmental disorder that is behaviorally diagnosed through the observation of impairments in social functioning and the presence of restricted, repetitive behaviors (a category which includes atypical sensory reactivity). Despite the well-defined behavioral diagnostic features of ASD, the biological markers, etiology, and contributing pathophysiological mechanisms of this brain disorder remain unclear. Importantly, there is a high prevalence of co-occurring conditions such as, intellectual disability, anxiety, seizure susceptibility, developmental delays, sleep disturbances, gastrointestinal disorders, and attention-deficit/hyperactivity disorder with ASD which results in a highly heterogenous clinical population and a complicated landscape for the development of pharmacological interventions (Neumeyer et al., Reference Neumeyer, Anixt, Chan, Perrin, Murray, Coury and Parker2019). Since the eCB system it is directly and indirectly involved in the range of behaviors that are also core and co-occurring ASD features, it is an attractive inroad for the development of interventions that are well-fitted to the complexity of the ASD clinical population. Data from preclinical studies in models of ASD provides robust support for targeting the eCB system, particularly in ameliorating specific features such as social impairments. Given that the etiopathogenesis of ASD involves a combination of genetic, environmental, and idiopathic factors, data from studies with these etiologies will be overviewed to highlight specific targets of engagement.

Fragile X syndrome (FXS) accounts for approximately 1 to 6% of all ASD cases making it the most common, known monogenetic form of ASD (Kaufmann et al., Reference Kaufmann, Kidd, Andrews, Budimirovic, Esler, Haas-Givler and Berry-Kravis2017). It is considered a classic example of syndromic ASD, which are cases of ASD in individuals with pre-existing neurological disorders. In the human clinical population, individuals with a dual diagnosis of ASD and FXS are more affected in cognitive and behavioral domains compared to those with ASD or FXS alone (Kaufmann et al., Reference Kaufmann, Kidd, Andrews, Budimirovic, Esler, Haas-Givler and Berry-Kravis2017). Importantly, in addition to the presence of autistic features (e.g. tactile defensiveness, hand flapping, and social communication deficits), a hallmark of FXS is the presence of intellectual disabilities and developmental delays (IDDs). Since IDDs significantly impact the long-term outcomes and quality of life for autistic individuals, identifying the specific eCB biology in this model that contributes to the co-occurrence of ASD and IDD is highly relevant to improving outcomes for an underserved stratum of the ASD population. The Fmr1 knockout (KO) mouse model, which lacks the Fragile X (FMRP) protein, results in a feature profile that closely resembles the behavioral and physiological clinical presentation of FXS patients (i.e. cognitive deficits, repetitive behaviors, altered social behaviors, structural changes in dendritic spines, and atypical neurotransmission). In Fmr1 KOs, the four most studied components of the eCB system (i.e. AEA, 2-AG, CB1R, and CB2R) have been systematically evaluated for their potential as targets of engagement for pharmacological intervention. URB597, a FAAH inhibitor, has been used in two different mouse backgrounds (i.e. C57BL/6J and FVB/NJ) to modulate AEA signaling (Qin et al., Reference Qin, Zeidler, Moulton, Krych, Xia and Smith2015; Wei et al., Reference Wei, Dinh, Lee, Li, Anguren, Moreno-Sanz and Piomelli2016). In the C57 background, AEA improved cognitive impairments and anxiety phenotypes in Fmr1 KOs (Qin et al., Reference Qin, Zeidler, Moulton, Krych, Xia and Smith2015). On the FVB background, modulation of AEA signaling produces a full reversal of social behavior impairments in Fmr1 KOs (Wei et al., Reference Wei, Dinh, Lee, Li, Anguren, Moreno-Sanz and Piomelli2016). The mechanism underlying these disparate effects between these studies is unclear, but the results suggest that genetic background and timing of FAAH inhibition are important factors in mediating the specificity of effects on behaviors from modulating AEA signaling. In contrast to the number of studies assessing AEA modulation in Fmr1 KOs, only one study has assessed 2-AG signaling. Blockade of 2-AG degradation through MAGL inhibition with JZL184 decreased anxiety (i.e. decreased activity in an open field and increase aversion of open arm in elevated plus maze) and normalized locomotor activity (Busquets-Garcia et al., Reference Busquets-Garcia, Gomis-González, Guegan, Agustín-Pavón, Pastor, Mato and Ozaita2013; Jung et al., Reference Jung, Sepers, Henstridge, Lassalle, Neuhofer, Martin and Manzoni2012). Similar effects on anxiety have been observed through modulation of CB2R activity with AM630 (Busquets-Garcia et al., Reference Busquets-Garcia, Gomis-González, Guegan, Agustín-Pavón, Pastor, Mato and Ozaita2013). Finally, changes in CB1R activity have been consistently linked to cognitive function in the Fmr1 KO model of ASD. While both chronic and acute administration of rimonabant, the CB1R antagonist, improved cognitive impairment, only acute administration led to improved pain desensitization in Fmr1 KOs. In summary, in Fmr1 KOs, modulation of AEA signaling largely mitigates impairments in social behaviors, altering 2-AG signaling and CB2R activity impacts anxiety, and modulating CB1R activity improves cognition. While more work is needed to clarify whether the preclinical findings of generalized changes in AEA signaling and localized changes in CB1R activity in distinct neuroanatomy can be achieved simultaneously in humans, the data offer a potential inroad for treating a severely underserved stratum of the ASD clinical population.

Nonsyndromic forms of ASD are cases that are not linked to any pre-existing neurological disorder and can stem from rare de novo mutations in candidate genes like neuroligin (NLGN). NLGNs are postsynaptic cell adhesion molecules that regulate synaptic transmission and neuronal development (Nguyen, Lehr, & Roche, Reference Nguyen, Lehr and Roche2020; Rothwell et al., Reference Rothwell, Fuccillo, Maxeiner, Hayton, Gokce, Lim and Südhof2014). While humans have five isoforms of NLGNs, only mutations in NLGN3 and NLGN4 have been found in ASD cases (Jamain et al., Reference Jamain, Quach, Betancur, Råstam, Colineaux and Gillberg2003; Nguyen et al., Reference Nguyen, Lehr and Roche2020). Two rodent models of NLGN3 mutations [i.e. the NLGN3 KO and NLGN3R451C knock-in (KI)] (Rothwell et al., Reference Rothwell, Fuccillo, Maxeiner, Hayton, Gokce, Lim and Südhof2014; Tabuchi et al., Reference Tabuchi, Blundell, Etherton, Hammer, Liu, Powell and Südhof2007). These NLGN models also have disrupted tonic eCB signaling in hippocampal cholecystokinin-expressing basket cells as well as increased distribution of CB1Rs in the hippocampus and cortex (Földy, Malenka, & Südhof, Reference Földy, Malenka and Südhof2013; Speed, Masiulis, Gibson, & Powell, Reference Speed, Masiulis, Gibson and Powell2015; Zamberletti, Gabaglio, & Parolaro, Reference Zamberletti, Gabaglio and Parolaro2017). Behaviorally, both loss- and gain-of-function NLGN3 mutations alter social behaviors, but the constellation of social behaviors affected varies with the NLGN mutation. NGLN3 KOs demonstrate impaired social communication (i.e. impaired ultrasonic vocalizations), altered social behaviors (i.e. deficits in social novelty preference), and atypical sensory reactivity (i.e. reduced olfactory function), the canonical ASD behavioral triumvirate (Jamain et al., Reference Jamain, Quach, Betancur, Råstam, Colineaux and Gillberg2003; Rothwell et al., Reference Rothwell, Fuccillo, Maxeiner, Hayton, Gokce, Lim and Südhof2014). Conversely, NLGN3 KIs have impaired social interactions, enhanced spatial learning, exhibit repetitive, restricted behaviors (i.e. stereotypical object exploration), and heightened aggression (Burrows et al., Reference Burrows, Laskaris, Koyama, Churilov, Bornstein, Hill-Yardin and Hannan2015). While aggression is not a core ASD feature, it is present in 39.5% of autistic individuals and is one of two druggable targets in ASD with an FDA-approved pharmacological therapy (Cossio, Stadler, Michas, Johnston, & Lopez, Reference Cossio, Stadler, Michas, Johnston and Lopez2020; Hosie et al., Reference Hosie, Malone, Liu, Glass, Adlard, Hannan and Hill-Yardin2018). Use of CB1R agonist, WIN 55, 212-2, reduced aggressive behaviors (i.e. attack incidences, duration, and increased attack latency) in NLGN3 KIs replicating previous data showing CB1R KO mice are more aggressive compared to wildtype littermates and that CB1R agonists modulate aggressive behaviors (Burrows et al., Reference Burrows, Laskaris, Koyama, Churilov, Bornstein, Hill-Yardin and Hannan2015; Hosie et al., Reference Hosie, Malone, Liu, Glass, Adlard, Hannan and Hill-Yardin2018; Rodriguez-Arias et al., Reference Rodriguez-Arias, Navarrete, Daza-Losada, Navarro, Aguilar, Berbel and Manzanares2013; Rodríguez-Arias et al., Reference Rodríguez-Arias, Navarrete, Blanco-Gandia, Arenas, Aguilar, Bartoll-Andrés and Manzanares2015). Findings from the NLGN3 models offer several new insights relevant to drug development for nonsyndromic ASD cases. First, the NLGN3 models further corroborate a role of AEA signaling in ASD-related social behaviors and the influence of genetic background on the constellation of social behaviors affected. These models also expand on the neural circuitry and synaptic architecture that when perturbed by eCB dysregulation produce distinct social behavioral profiles. While it remains unclear how these findings can be combined with those from syndromic ASD models with eCB regulation, they do inform future eCB-based precision medicine efforts. Second, two different studies in NLGN3 KIs found that modulating CB1R activity in the amygdala reduced aggressive behaviors (Burrows et al., Reference Burrows, Laskaris, Koyama, Churilov, Bornstein, Hill-Yardin and Hannan2015; Hosie et al., Reference Hosie, Malone, Liu, Glass, Adlard, Hannan and Hill-Yardin2018). Since currently prescribed pharmacotherapeutics for aggression increase the incidence of distressing off-target effects (i.e. weight gain, gynecomastia, and hyperphagia) novel pharmacotherapies that target amydalar CB1R activity may offer a less fraught intervention option. Finally, repetitive, restricted behaviors are one of the most intractable and complex features of ASD. So, the link between NLGN and repetitive, restricted behaviors highlights a highly relevant target of engagement for pharmacological intervention development.

Apart from syndromic and nonsyndromic cases of ASD, recent evidence has suggested that between 40 and 50% of variance in ASD cases is related to environmental factors. Prenatal exposure to valproic acid (VPA) is the most well-studied environmental factor model of ASD and has been extensively used to investigate eCB dysregulation in ASD. Behaviorally, VPA-exposed animals have deficits in social communication, social play, obvious stereotypies, and increased anxiety along with changes in AEA and 2-AG tone. In one VPA model, changes in DAGL and MAGL were found alongside behavioral changes in sociability, anxiety, and nociception (Kerr, Downey, Conboy, Finn, & Roche, Reference Kerr, Downey, Conboy, Finn and Roche2013). Social exposure in these animals led to increased hippocampal levels of AEA and other fatty acid ethanolamides, OEA and PEA (Kerr et al., Reference Kerr, Downey, Conboy, Finn and Roche2013). Other studies have shown decreased NAPE-PLD and increased FAAH significantly impacting levels of AEA across the whole brain (Servadio et al., Reference Servadio, Melancia, Manduca, di Masi, Schiavi, Cartocci and Trezza2016). These changes in AEA metabolism were present across the lifespan (i.e. from infancy to adulthood) and are accompanied by changes in CB1R activity in the amygdala, hippocampus, and dorsal striatum – all areas that contribute to socio-emotional processing (Servadio et al., Reference Servadio, Melancia, Manduca, di Masi, Schiavi, Cartocci and Trezza2016). While pharmacological intervention with URB597 or PF-3845 to modulate AEA reversed social impairments, FAAH inhibition also increases PEA and OEA, enhancing the activity of hippocampal CB1Rs and effecting cognition (Babayeva, Assefa, Basu, & Loewy, Reference Babayeva, Assefa, Basu and Loewy2022; Kerr et al., Reference Kerr, Downey, Conboy, Finn and Roche2013; Kerr, Gilmartin, & Roche, Reference Kerr, Gilmartin and Roche2016; Servadio et al., Reference Servadio, Melancia, Manduca, di Masi, Schiavi, Cartocci and Trezza2016; Trezza et al., Reference Trezza, Damsteegt, Manduca, Petrosino, Kerkhof, Pasterkamp and Vanderschuren2012; Trezza & Vanderschuren, Reference Trezza and Vanderschuren2008). In sum, the VPA models replicate data in other ASD animal models linking AEA signaling and social functioning and expand what is known by providing important considerations regarding the impact of development on AEA modulation. For neurodevelopmental disorders like ASD, understanding the precise timing for eCB modulation is critical to the development of pharmacotherapies if provided during a specific window could eliminate the need for drug intervention across the lifespan.

The majority of ASD diagnoses stem from idiopathic etiologies, which are typically modeled with inbred BTBR T + tf/J mice. These animals show a variety of behaviors that are reminiscent of the core ASD features such as impairments in social functioning (i.e. deficits in social approach, social transmission of food preference, social interactions, and social play), diminished ultrasonic vocalizations, and increased self-grooming (Meyza et al., Reference Meyza, Defensor, Jensen, Corley, Pearson, Pobbe and Blanchard2013; Onaivi et al., Reference Onaivi, Benno, Halpern, Mehanovic, Schanz, Sanders and Ali2011). The behavior changes are seen in addition to increased CB1R density and upregulation of CB1R function in the hippocampus and cortex compared to control mice (Gould et al., Reference Gould, Burke, Osorio, Smolik, Zhang, Onaivi and Hensler2014, Reference Gould, Seillier, Weiss, Giuffrida, Burke, Hensler and Schultz2012). Although the social profile of BTBR mice aligns with core characteristics in ASD, only two studies have assessed eCB manipulation in this model. In one study, the AEA reuptake inhibitor, AM404 (i.e. acetaminophen), improved sociability (i.e. social approach and social preference) in BTBR mice by increasing AEA in the frontal cortex (Gould et al., Reference Gould, Seillier, Weiss, Giuffrida, Burke, Hensler and Schultz2012). Interestingly, the use of WIN 55,212-2 (a CB1R agonist) in BTBR mice did not increase social but it did reduce marble burying, which is often used as a proxy for repetitive, restricted behaviors in ASD (Gould et al., Reference Gould, Seillier, Weiss, Giuffrida, Burke, Hensler and Schultz2012). A more recent study found that the blockade of FAAH substantially increased levels of AEA and completely reversed social impairment (Wei et al., Reference Wei, Dinh, Lee, Li, Anguren, Moreno-Sanz and Piomelli2016). Blockade of CB1R prevented the improvement of social behaviors by FAAH inhibition (with URB597) indicating that AEA accumulation was acting through CB1Rs to mediate the restoration of typical social behavior (Wei et al., Reference Wei, Dinh, Lee, Li, Anguren, Moreno-Sanz and Piomelli2016). Findings in the BTBR model corroborate other evidence associating AEA signaling with social behavior and CB1R activity with restricted, repetitive behaviors. Given the unique profile of eCB changes identified by BTBR mice compared to other in socially impaired mice strains, these data also suggest that treatment of idiopathic ASD case may be based upon eCB system changes (Gould et al., Reference Gould, Seillier, Weiss, Giuffrida, Burke, Hensler and Schultz2012).

Collectively, these varying animal models of ASD have some common outcomes. FAAH inhibition with URB597 or AM404 are effective pathways to modulate AEA signaling and producing changes in social domain across etiopathologies of ASD. However, the given the breadth of social functions altered by AEA signaling, more work is needed to understand how to achieve specific and sensitive modulation of social behaviors. Inhibition of 2-AG signaling with JZL184 and CB2R activity with AM630 modulates anxiety and motor ability. Finally, CB1R modulation largely results in amelioration of cognitive deficits although alterations in CB1R activity can also impact aggression and social behaviors.

Compared to the range of data available on the pharmacological approaches to target the eCB system in ASD animal models, there are considerably fewer studies that have translated these preclinical findings on eCB biology to the autistic human population. The first reports of eCB dysregulation in autistic humans solely assessed cannabinoid receptor and enzyme expression. Siniscalco and colleagues, showed that in peripheral blood mononuclear cells collected from autistic children mRNA and protein levels of CB2Rs were upregulated compared to neurotypical controls (Siniscalco et al., Reference Siniscalco, Sapone, Giordano, Cirillo, de Magistris, Rossi and Antonucci2013). The autistic pediatric cohort also demonstrated slightly decreased mRNA levels of NAPE-PLD (Siniscalco et al., Reference Siniscalco, Sapone, Giordano, Cirillo, de Magistris, Rossi and Antonucci2013). Authors suggested the results support theories of inflammation and neuroimmune dysregulation in ASD (Brigida, Schultz, Cascone, Antonucci, & Siniscalco, Reference Brigida, Schultz, Cascone, Antonucci and Siniscalco2017). Following studies evaluating the eCB system in ASD have focused on the measurement of the principal eCBs (i.e. AEA and 2-AG) and other prominent fatty acid ethanolamides (i.e. OEA and PEA). Karhson and colleagues assessed levels of AEA in peripheral blood samples collected from a prepubescent pediatric cohort (aged 3 to 12 years). Compared to controls, autistic participants had lower levels of plasma AEA, and the likelihood of an ASD diagnosis was associated with a fourfold decrease in risk with each twofold increase in plasma AEA levels (Karhson et al., Reference Karhson, Krasinska, Dallaire, Libove, Phillips, Chien and Parker2018). These data were replicated and extended by Aran and colleagues, who assessed AEA, 2-AG, OEA, and PEA, in the serum collected from a cohort of children aged 5.5 to 21 years old. Serum levels of AEA, OEA, and PEA, but not 2-AG, were lower in autistic participants compared to typically developed children. Levels of AEA were correlated with age and body mass index such that younger autistic children with lower body weights had lower levels of serum AEA (Aran et al., Reference Aran, Eylon, Harel, Polianski, Nemirovski, Tepper and Tam2019). Notably, although this study evaluated the relationship between eCB levels and scores on behavioral assessments, no significant relationships were found, which differs from preclinical data. The most recent report of eCB dysregulation in autistic humans is a study by Zuo and colleagues. In this case-control study, researchers assessed eCBs and fatty acid ethanolamides (i.e. 2-AG, AEA, PEA and OEA), cannabinoid receptors (i.e. CB1Rs and CB2Rs) and related enzymes (i.e. NAPE-PLD, FAAH, DAGL and MAGL) in autistic children aged three to twelve years. In addition to replicating previous results, the authors also examined the relationship between 2-AG signaling and autistic behaviors. Autistic children had lower plasma levels of 2-AG, AEA, PEA, and OEA. Peripheral blood mononuclear cells from autistic children also demonstrated significantly higher mRNA and protein levels for CB2R, FAAH, and MAGL compared to neurotypical controls (Zou et al., Reference Zou, Liu, Xie, Wang, Li, Li and Wu2021). Moreover, PEA, which is structurally similar to AEA and synthesized by the same enzyme (i.e. NAPE-PLD), was negatively correlated with the total scores of the Autism Behavior Checklist (ABC), such that children with lower levels of PEA exhibited more severe ASD symptoms. This study is the first to demonstrate a relationship between human autistic features and paracannabinoid levels. However, given that the relationship was between total scores on the ABC, which is not a gold-standard diagnostic instrument, and PEA, the specific relationship between ASD diagnostic symptoms and PEA is unclear. Preclinical studies in ASD models which have observed changes in PEA suggest this change may be associated with atypical social behaviors (Bertolino et al., Reference Bertolino, Crupi, Impellizzeri, Bruschetta, Cordaro, Siracusa and Cuzzocrea2017; Cristiano et al., Reference Cristiano, Pirozzi, Coretti, Cavaliere, Lama, Russo and Mattace Raso2018; Kerr et al., Reference Kerr, Downey, Conboy, Finn and Roche2013). In summary, while there are only a few human studies that have investigated the role of the eCB system in ASD pathophysiology, replicating of preclinical findings in humans data suggests that precision medicine efforts in ASD would be well served by supporting further research into the behavioral impact of eCB manipulation. To date, manipulations of eCB system in ASD in humans have focused on the use of phytocannabinoids in ASD. All the US-based clinical trials and international observational studies of pharmacological manipulation of the eCB system in ASD evaluated the safety, tolerance, and efficacy of compounds that include cannabidiol (CBD). The mechanism of action of CBD falls outside the scope of this review as it does not act on the canonical components of the eCB system mentioned previously. Thus, this review will not include an overview of the findings from studies that have assessed the impact of phytocannabinoids in the ASD human clinical population.

The studies reviewed indicate major progress of cannabinoid treatment in ASD; however, it is still unclear which cannabinoids are well suited to target core features of ASD. Moreover, since only exogenous cannabinoids have been tested in this clinical population the effectiveness of direct modulation of eCB signaling is unknown. Studies in co-occurring conditions, like social anxiety which directly modulate AEA signaling through FAAH inhibition, may offer greater specificity of target engagement without activating the euphorigenic or off-target effects commiserate with exogenous cannabinoid intervention (Ahmed et al., Reference Ahmed, Tyndale, Rubin-Kahana, Foll, Daskalakis, Boileau and Kloiber2020; Schmidt et al., Reference Schmidt, Liebowitz, Stein, Grunfeld, Van Hove, Simmons and Drevets2021). The clinical examination of FAAH inhibitors in ASD is needed, and is anticipated to occur in the near future, to directly evaluate the potential for this treatment approach in autistic humans. Additionally, there are no studies that have explored how targeting eCB dysregulation can ameliorate non-social core features of ASD (i.e. repetitive, stereotyped behaviors or atypical sensory reactivity). Thus, more research is needed to fully explore the complexity of eCB dysregulation in ASD to identify which cannabinoids are best suited to treat the range of behaviors in ASD in a symptom-specific manner and uncover the mechanisms that underlie core features.

Conclusions and future directions

The eCB system represents a novel target for the development of a new class of drugs for psychiatric illnesses that has not previously been explored in depth. While still in the early days of translation to humans and clinical trials, preclinical data have been very encouraging and the initial studies in humans have largely supported the predictions made from rodent work. As discussed in this paper, there are several key areas where this development has advanced significantly, with some promise. More so, there appear to be several targetable components of the eCB system that have provided some optimism (see Fig. 1). First, to date it appears that FAAH inhibitors as a class of drug likely represent the most promise for translation to a novel therapeutic tool. Despite initial failures with pain, promising studies have emerged in humans with respect to CUD, social anxiety disorder and stress-related conditions such as PTSD. More so, while not tested in a clinical setting as of yet, the preclinical work in ASD, coupled to the somewhat positive findings seen using direct cannabinoid agonists or CBD, which may also potentiate AEA signaling (Leweke et al., Reference Leweke, Piomelli, Pahlisch, Muhl, Gerth, Hoyer and Koethe2012), indicate that future clinical work determining if FAAH inhibitors have benefit for ASD is urgently needed. One of the primary advantages of FAAH inhibitors is that they lack psychoactivity, unlike cannabinoids such as THC, suggesting that they would not possess the substance use disorder potential seen with some other cannabinoids. More so, the lack of any psychoactive side effects may also make this pharmacological approach more manageable as it would not have the same impact on workplace safety and driving that is seen with cannabis or intoxicating cannabinoids. On the flip side, however, FAAH inhibitors do not produce robust effects like the psychoactive cannabinoids do and that may limit their efficacy to some degree, as has been hypothesized with respect to their lack of benefit in pain conditions. One approach to potentially counter this could be the addition of a CB1R PAM, which could amplify the cellular actions of AEA at CB1Rs. To date, no PAMs have gone into testing in humans, so this remains speculative, but if FAAH inhibitors do move forward in clinical development this approach may be considered down the line.

Figure 1. Pharmacotherapeutic targets of the endocannabinoid system. A schematic showing potential therapeutic targets of the endocannabinoid system in the central nervous system displayed in their pre- and postsynapse localization in neurons (this is not to say that central mechanisms of action could also occurs through nonneuronal cell types). Compounds include: CB1R orthosteric targets (including agonists and antognists), CB1R modulators (signaling specific inhibitors, PAMs and NAMs), FAAH inhibitors, MAGL inhibitors, FABP inhibitors and membrane transporter inhibitors. CB1R-cannabinoid receptor type 1; PAM-positive allosteric modulator; NAMnegative allosteric modulator; FAAH-fatty acid amide hydrolase; MAGL-monoacylglycerol lipase; FABP-fatty acid binding protein. Created in Biorender.

MAGL inhibitors are still in very early stages of clinical development, so it will be important to see how data from future trials comes out as while 2-AG is a more efficacious agonist at CB1R then AEA is, that may in turn bring issues related to psychoactivity and CB1R desensitization that have not been present with FAAH inhibitors. Currently, most of the focus of MAGL inhibitors has been on neurological and neuroinflammatory conditions, however this therapeutic application could still hold benefit for psychiatric conditions, many of which are associated with neuroinflammation, such as major depression.

While CB1R antagonists are too problematic as straight therapeutic approach, as was learned from the rimonabant trials and the subsequent development of adverse psychiatric side effects, more tailored approaches to dampening CB1R signaling could hold some promise. A recently developed analog of pregnenolone has shown some positive outcomes for reducing cannabis intoxication and could be a novel approach to treating CUD as well. A multi-site clinical trial is currently underway to evaluate this specifically. Interestingly, there is also clinical development with these agents for the management of cognitive issues related to neurodevelopmental disorders and so these agents may also represent a novel drug class for disorders including ASD.

While there may still be a place for direct CB1R agonists for the treatment of conditions such as chronic neuropathic pain and multiple sclerosis, the potential risk these may carry for exacerbating psychiatric conditions, particularly psychosis and schizophrenia and possibly bipolar disorder, will likely limit their utility for the treatment of psychiatric conditions.

Overall, this is an exciting time for eCB-based therapeutics, with several recent positive trials emerging for psychiatric conditions with drugs that amplify eCB activity, there is a renewed interest in the therapeutic potential of this system. While disorders such as major depression, bipolar disorder and schizophrenia may not represent psychiatric illnesses that will benefit from this approach, there is some optimism now that SUD, anxiety and other non-major depression stress-related psychiatric disorders and ASD may represent a cluster of disease states that could be alleviated through eCB based medications.

Acknowledgements

This research received no specific grant from any funding agency, commercial or not-for-profit sector. MH is a stockholder and on the scientific advisory board for Pleo Pharma; CJH has equity in Formulate Biosciences, Inc, is a consultant for Pharmavite, LLC and is a member of the scientific advisory boards for Phytecs, Inc and Formulate Biosciences, Inc. It is important to note, however, that none of the compounds related to any of these companies are described or mentioned throughout this review and accordingly, none of these financial relationships represent a conflict of interest but are being reported for the sake of transparency.

References

Ahmed, M., Tyndale, R. F., Rubin-Kahana, D. S., Foll, B. L., Daskalakis, Z. J., Boileau, I., & Kloiber, S. (2020). Investigating fatty acid amide hydrolase levels in social anxiety disorder: A Positron Emission Tomography (PET) study using [C-11]CURB. Biological Psychiatry, 87(9), S299. https://doi.org/10.1016/j.biopsych.2020.02.770CrossRefGoogle Scholar
Alipour, A., Patel, P. B., Shabbir, Z., & Gabrielson, S. (2019). Review of the many faces of synthetic cannabinoid toxicities. The Mental Health Clinician, 9(2), 9399. https://doi.org/10.9740/mhc.2019.03.093CrossRefGoogle ScholarPubMed
Andrade, A. K., Renda, B., & Murray, J. E. (2019). Cannabinoids, interoception, and anxiety. Pharmacology, Biochemistry, and Behavior, 180, 6073. https://doi.org/10.1016/j.pbb.2019.03.006CrossRefGoogle ScholarPubMed
Aran, A., Eylon, M., Harel, M., Polianski, L., Nemirovski, A., Tepper, S., … Tam, J. (2019). Lower circulating endocannabinoid levels in children with autism spectrum disorder. Molecular Autism, 10, 2. https://doi.org/10.1186/s13229-019-0256-6CrossRefGoogle ScholarPubMed
Arnold, J. C. (2021). A primer on medicinal cannabis safety and potential adverse effects. Australian Journal of General Practice, 50(6), 345350. https://doi.org/10.31128/AJGP-02-21-5845CrossRefGoogle ScholarPubMed
Asth, L., Santos, A. C., & Moreira, F. A. (2022). The endocannabinoid system and drug-associated contextual memories. Behavioural Pharmacology, 33(2 & 3), 90104. https://doi.org/10.1097/FBP.0000000000000621CrossRefGoogle ScholarPubMed
Babayeva, M., Assefa, H., Basu, P., & Loewy, Z. (2022). Autism and associated disorders: Cannabis as a potential therapy. Frontiers in Bioscience-Elite, 14(1), 1. https://doi.org/10.31083/j.fbe1401001CrossRefGoogle ScholarPubMed
Bedse, G., Colangeli, R., Lavecchia, A. M., Romano, A., Altieri, F., Cifani, C., … Gaetani, S. (2014). Role of the basolateral amygdala in mediating the effects of the fatty acid amide hydrolase inhibitor URB597 on HPA axis response to stress. European Neuropsychopharmacology: The Journal of the European College of Neuropsychopharmacology, 24(9), 15111523. https://doi.org/10.1016/j.euroneuro.2014.07.005CrossRefGoogle ScholarPubMed
Bedse, G., Hartley, N. D., Neale, E., Gaulden, A. D., Patrick, T. A., Kingsley, P. J., … Patel, S. (2017). Functional redundancy between canonical endocannabinoid signaling systems in the modulation of anxiety. Biological Psychiatry, 82(7), 488499. https://doi.org/10.1016/j.biopsych.2017.03.002CrossRefGoogle ScholarPubMed
Bertolino, B., Crupi, R., Impellizzeri, D., Bruschetta, G., Cordaro, M., Siracusa, R., … Cuzzocrea, S. (2017). Beneficial effects of co-ultramicronized palmitoylethanolamide/luteolin in a mouse model of autism and in a case report of autism. CNS Neuroscience & Therapeutics, 23(1), 8798. https://doi.org/10.1111/cns.12648CrossRefGoogle Scholar
Best, L. M., Williams, B., Le Foll, B., Mansouri, E., Bazinet, R. P., Lin, L., … Boileau, I. (2020). Lower brain fatty acid amide hydrolase in treatment-seeking patients with alcohol use disorder: A positron emission tomography study with [C-11]CURB. Neuropsychopharmacology: Official Publication of the American College of Neuropsychopharmacology, 45(8), 12891296. https://doi.org/10.1038/s41386-020-0606-2CrossRefGoogle ScholarPubMed
Bialecki, J., Werner, A., Weilinger, N. L., Tucker, C. M., Vecchiarelli, H. A., Egaña, J., … Thompson, R. J. (2020). Suppression of presynaptic glutamate release by postsynaptic metabotropic NMDA receptor signalling to pannexin-1. The Journal of Neuroscience: The Official Journal of the Society for Neuroscience, 40(4), 729742. https://doi.org/10.1523/JNEUROSCI.0257-19.2019CrossRefGoogle ScholarPubMed
Blankman, J. L., Simon, G. M., & Cravatt, B. F. (2007). A comprehensive profile of brain enzymes that hydrolyze the endocannabinoid 2-arachidonoylglycerol. Chemistry & Biology, 14(12), 13471356. https://doi.org/10.1016/j.chembiol.2007.11.006CrossRefGoogle ScholarPubMed
Bluett, R. J., Báldi, R., Haymer, A., Gaulden, A. D., Hartley, N. D., Parrish, W. P., … Patel, S. (2017). Endocannabinoid signalling modulates susceptibility to traumatic stress exposure. Nature Communications, 8, 14782. https://doi.org/10.1038/ncomms14782CrossRefGoogle ScholarPubMed
Bluett, R. J., Gamble-George, J. C., Hermanson, D. J., Hartley, N. D., Marnett, L. J., & Patel, S. (2014). Central anandamide deficiency predicts stress-induced anxiety: Behavioral reversal through endocannabinoid augmentation. Translational Psychiatry, 4, e408. https://doi.org/10.1038/tp.2014.53CrossRefGoogle ScholarPubMed
Boileau, I., Mansouri, E., Williams, B., Le Foll, B., Rusjan, P., Mizrahi, R., … Tong, J. (2016). Fatty acid amide hydrolase binding in brain of cannabis users: Imaging with the novel radiotracer [11C]CURB. Biological Psychiatry, 80(9), 691701. https://doi.org/10.1016/j.biopsych.2016.04.012CrossRefGoogle ScholarPubMed
Bononi, G., Tonarini, G., Poli, G., Barravecchia, I., Caligiuri, I., Macchia, M., … Tuccinardi, T. (2021). Monoacylglycerol lipase (MAGL) inhibitors based on a diphenylsulfide-benzoylpiperidine scaffold. European Journal of Medicinal Chemistry, 223, 113679. https://doi.org/10.1016/j.ejmech.2021.113679CrossRefGoogle ScholarPubMed
Bradford, D., Stirling, A., Ernault, E., Liosatos, M., Tracy, K., Moseley, J., … Smith, M. D. (2017). The MOBILE study-A phase IIa enriched enrollment randomized withdrawal trial to assess the analgesic efficacy and safety of ASP8477, a fatty acid amide hydrolase inhibitor, in patients with peripheral neuropathic pain. Pain Medicine (Malden, Mass.), 18(12), 23882400. https://doi.org/10.1093/pm/pnx046CrossRefGoogle ScholarPubMed
Brezing, C. A., & Levin, F. R. (2018). The current state of pharmacological treatments for cannabis use disorder and withdrawal. Neuropsychopharmacology: Official Publication of the American College of Neuropsychopharmacology, 43(1), 173194. https://doi.org/10.1038/npp.2017.212CrossRefGoogle ScholarPubMed
Brigida, A. L., Schultz, S., Cascone, M., Antonucci, N., & Siniscalco, D. (2017). Endocannabinod signal dysregulation in autism spectrum disorders: A correlation link between inflammatory state and neuro-immune alterations. International Journal of Molecular Sciences, 18(7), E1425. https://doi.org/10.3390/ijms18071425CrossRefGoogle ScholarPubMed
Burkey, T. H., Quock, R. M., Consroe, P., Roeske, W. R., & Yamamura, H. I. (1997). Delta 9-Tetrahydrocannabinol is a partial agonist of cannabinoid receptors in mouse brain. European Journal of Pharmacology, 323(2–3), R3R4. https://doi.org/10.1016/s0014-2999(97)00146-5CrossRefGoogle ScholarPubMed
Burrows, E. L., Laskaris, L., Koyama, L., Churilov, L., Bornstein, J. C., Hill-Yardin, E. L., & Hannan, A. J. (2015). A neuroligin-3 mutation implicated in autism causes abnormal aggression and increases repetitive behavior in mice. Molecular Autism, 6, 62. https://doi.org/10.1186/s13229-015-0055-7CrossRefGoogle ScholarPubMed
Busquets-Garcia, A., Gomis-González, M., Guegan, T., Agustín-Pavón, C., Pastor, A., Mato, S., … Ozaita, A. (2013). Targeting the endocannabinoid system in the treatment of fragile X syndrome. Nature Medicine, 19(5), 603607. https://doi.org/10.1038/nm.3127CrossRefGoogle ScholarPubMed
Busquets-Garcia, A., Puighermanal, E., Pastor, A., de la Torre, R., Maldonado, R., & Ozaita, A. (2011). Differential role of anandamide and 2-arachidonoylglycerol in memory and anxiety-like responses. Biological Psychiatry, 70(5), 479486. https://doi.org/10.1016/j.biopsych.2011.04.022CrossRefGoogle ScholarPubMed
Butler, K., & Le Foll, B. (2020). Novel therapeutic and drug development strategies for tobacco use disorder: Endocannabinoid modulation. Expert Opinion on Drug Discovery, 15(9), 10651080. https://doi.org/10.1080/17460441.2020.1767581CrossRefGoogle ScholarPubMed
Campos, A. C., Ferreira, F. R., Guimarães, F. S., & Lemos, J. I. (2010). Facilitation of endocannabinoid effects in the ventral hippocampus modulates anxiety-like behaviors depending on previous stress experience. Neuroscience, 167(2), 238246. https://doi.org/10.1016/j.neuroscience.2010.01.062CrossRefGoogle ScholarPubMed
Ceccarini, J., Kuepper, R., Kemels, D., van Os, J., Henquet, C., & Van Laere, K. (2015). [18F]MK-9470 PET measurement of cannabinoid CB1 receptor availability in chronic cannabis users. Addiction Biology, 20(2), 357367. https://doi.org/10.1111/adb.12116CrossRefGoogle ScholarPubMed
Chen, R., Zhang, J., Wu, Y., Wang, D., Feng, G., Tang, Y.-P., … Chen, C. (2012). Monoacylglycerol lipase is a therapeutic target for Alzheimer's disease. Cell Reports, 2(5), 13291339. https://doi.org/10.1016/j.celrep.2012.09.030CrossRefGoogle ScholarPubMed
Chhatwal, J. P., Davis, M., Maguschak, K. A., & Ressler, K. J. (2005). Enhancing cannabinoid neurotransmission augments the extinction of conditioned fear. Neuropsychopharmacology: Official Publication of the American College of Neuropsychopharmacology, 30(3), 516524. https://doi.org/10.1038/sj.npp.1300655CrossRefGoogle ScholarPubMed
Chhatwal, J. P., Gutman, A. R., Maguschak, K. A., Bowser, M. E., Yang, Y., Davis, M., & Ressler, K. J. (2009). Functional interactions between endocannabinoid and CCK neurotransmitter systems may be critical for extinction learning. Neuropsychopharmacology: Official Publication of the American College of Neuropsychopharmacology, 34(2), 509521. https://doi.org/10.1038/npp.2008.97CrossRefGoogle ScholarPubMed
Chiang, K. P., Gerber, A. L., Sipe, J. C., & Cravatt, B. F. (2004). Reduced cellular expression and activity of the P129T mutant of human fatty acid amide hydrolase: Evidence for a link between defects in the endocannabinoid system and problem drug use. Human Molecular Genetics, 13(18), 21132119. https://doi.org/10.1093/hmg/ddh216CrossRefGoogle ScholarPubMed
Chicca, A., Nicolussi, S., Bartholomäus, R., Blunder, M., Aparisi Rey, A., Petrucci, V., … Gertsch, J. (2017). Chemical probes to potently and selectively inhibit endocannabinoid cellular reuptake. Proceedings of the National Academy of Sciences of the United States of America, 114(25), E5006E5015. https://doi.org/10.1073/pnas.1704065114Google ScholarPubMed
Christensen, R., Kristensen, P. K., Bartels, E. M., Bliddal, H., & Astrup, A. (2007). Efficacy and safety of the weight-loss drug rimonabant: A meta-analysis of randomised trials. Lancet (London, England), 370(9600), 17061713. https://doi.org/10.1016/S0140-6736(07)61721-8CrossRefGoogle ScholarPubMed
Cisar, J. S., Weber, O. D., Clapper, J. R., Blankman, J. L., Henry, C. L., Simon, G. M., … Grice, C. A. (2018). Identification of ABX-1431, a selective inhibitor of monoacylglycerol lipase and clinical candidate for treatment of neurological disorders. Journal of Medicinal Chemistry, 61(20), 90629084. https://doi.org/10.1021/acs.jmedchem.8b00951CrossRefGoogle ScholarPubMed
Citti, C., Linciano, P., Russo, F., Luongo, L., Iannotta, M., Maione, S., … Cannazza, G. (2019). A novel phytocannabinoid isolated from Cannabis sativa L. with an in vivo cannabimimetic activity higher than Δ9-tetrahydrocannabinol: Δ9-Tetrahydrocannabiphorol. Scientific Reports, 9(1), 20335. https://doi.org/10.1038/s41598-019-56785-1CrossRefGoogle Scholar
Coronado-Álvarez, A., Romero-Cordero, K., Macías-Triana, L., Tatum-Kuri, A., Vera-Barrón, A., Budde, H., … Murillo-Rodríguez, E. (2021). The synthetic CB1 cannabinoid receptor selective agonists: Putative medical uses and their legalization. Progress in Neuro-Psychopharmacology & Biological Psychiatry, 110, 110301. https://doi.org/10.1016/j.pnpbp.2021.110301CrossRefGoogle ScholarPubMed
Cossio, D., Stadler, H., Michas, Z., Johnston, C., & Lopez, H. H. (2020). Disrupting the endocannabinoid system in early adolescence negatively impacts sociability. Pharmacology Biochemistry and Behavior, 188, 172832. https://doi.org/10.1016/j.pbb.2019.172832CrossRefGoogle ScholarPubMed
Courts, J., Maskill, V., Gray, A., & Glue, P. (2016). Signs and symptoms associated with synthetic cannabinoid toxicity: Systematic review. Australasian Psychiatry: Bulletin of Royal Australian and New Zealand College of Psychiatrists, 24(6), 598601. https://doi.org/10.1177/1039856216663733CrossRefGoogle ScholarPubMed
Cravatt, B. F., Giang, D. K., Mayfield, S. P., Boger, D. L., Lerner, R. A., & Gilula, N. B. (1996). Molecular characterization of an enzyme that degrades neuromodulatory fatty-acid amides. Nature, 384(6604), 8387. https://doi.org/10.1038/384083a0CrossRefGoogle ScholarPubMed
Cristiano, C., Pirozzi, C., Coretti, L., Cavaliere, G., Lama, A., Russo, R., … Mattace Raso, G. (2018). Palmitoylethanolamide counteracts autistic-like behaviours in BTBR T + tf/J mice: Contribution of central and peripheral mechanisms. Brain, Behavior, and Immunity, 74, 166175. https://doi.org/10.1016/j.bbi.2018.09.003CrossRefGoogle ScholarPubMed
D'Ambra, T. E., Estep, K. G., Bell, M. R., Eissenstat, M. A., Josef, K. A., Ward, S. J., … Beglin, N. C. (1992). Conformationally restrained analogues of pravadoline: Nanomolar potent, enantioselective, (aminoalkyl)indole agonists of the cannabinoid receptor. Journal of Medicinal Chemistry, 35(1), 124135. https://doi.org/10.1021/jm00079a016CrossRefGoogle ScholarPubMed
Danandeh, A., Vozella, V., Lim, J., Oveisi, F., Ramirez, G. L., Mears, D., … Piomelli, D. (2018). Effects of fatty acid amide hydrolase inhibitor URB597 in a rat model of trauma-induced long-term anxiety. Psychopharmacology, 235(11), 32113221. https://doi.org/10.1007/s00213-018-5020-7CrossRefGoogle Scholar
De Aquino, J. P., Sherif, M., Radhakrishnan, R., Cahill, J. D., Ranganathan, M., & D'Souza, D. C. (2018). The psychiatric consequences of cannabinoids. Clinical Therapeutics, 40(9), 14481456. https://doi.org/10.1016/j.clinthera.2018.03.013CrossRefGoogle ScholarPubMed
Demers, C. H., Drabant Conley, E., Bogdan, R., & Hariri, A. R. (2016). Interactions between anandamide and corticotropin-releasing factor signaling modulate human amygdala function and risk for anxiety disorders: An imaging genetics strategy for modeling molecular interactions. Biological Psychiatry, 80(5), 356362. https://doi.org/10.1016/j.biopsych.2015.12.021CrossRefGoogle ScholarPubMed
deRoon-Cassini, T. A., Stollenwerk, T. M., Beatka, M., & Hillard, C. J. (2020). Meet your stress management professionals: The endocannabinoids. Trends in Molecular Medicine, 26(10), 953968. https://doi.org/10.1016/j.molmed.2020.07.002CrossRefGoogle ScholarPubMed
Devane, W. A., Dysarz, F. A., Johnson, M. R., Melvin, L. S., & Howlett, A. C. (1988). Determination and characterization of a cannabinoid receptor in rat brain. Molecular Pharmacology, 34(5), 605613.Google ScholarPubMed
Dewey, W. L. (1986). Cannabinoid pharmacology. Pharmacological Reviews, 38(2), 151178.Google ScholarPubMed
Di, S., Malcher-Lopes, R., Halmos, K. C., & Tasker, J. G. (2003). Nongenomic glucocorticoid inhibition via endocannabinoid release in the hypothalamus: A fast feedback mechanism. The Journal of Neuroscience: The Official Journal of the Society for Neuroscience, 23(12), 48504857.CrossRefGoogle ScholarPubMed
Diasio, R. B., Ettinger, D. S., & Satterwhite, B. E. (1981). Oral levonantradol in the treatment of chemotherapy-induced emesis: Preliminary observations. Journal of Clinical Pharmacology, 21(S1), 81S85S. https://doi.org/10.1002/j.1552-4604.1981.tb02579.xCrossRefGoogle ScholarPubMed
Difede, J., Rothbaum, B. O., Rizzo, A. A., Wyka, K., Spielman, L., Reist, C., … Lee, F. S. (2022). Enhancing exposure therapy for posttraumatic stress disorder (PTSD): A randomized clinical trial of virtual reality and imaginal exposure with a cognitive enhancer. Translational Psychiatry, 12(1), 299. https://doi.org/10.1038/s41398-022-02066-xCrossRefGoogle ScholarPubMed
Dincheva, I., Drysdale, A. T., Hartley, C. A., Johnson, D. C., Jing, D., King, E. C., … Lee, F. S. (2015). FAAH genetic variation enhances fronto-amygdala function in mouse and human. Nature Communications, 6, 6395. https://doi.org/10.1038/ncomms7395CrossRefGoogle ScholarPubMed
Domino, E. F., Hardman, H. F., & Seevers, M. H. (1971). Central nervous system actions of some synthetic tetrahydrocannabinol derivatives. Pharmacological Reviews, 23(4), 317336.Google ScholarPubMed
D'Souza, D.C. (2022). A Phase 2B, 8-week, Randomized, Double-Blind, Placebo-Controlled, Parallel Study to Evaluate Efficacy, Safety and Tolerability of the Fatty Acid Amide Hydrolase (FAAH) Inhibitor PF-04457845 in Adults With DSM5 Current Cannabis Use Disorder (CUD) (Clinical Trial Registration No. NCT03386487). clinicaltrials.gov. Retrieved from clinicaltrials.gov website: https://clinicaltrials.gov/ct2/show/NCT03386487Google Scholar
D'Souza, D. C., Cortes-Briones, J., Creatura, G., Bluez, G., Thurnauer, H., Deaso, E., … Skosnik, P. D. (2019). Efficacy and safety of a fatty acid amide hydrolase inhibitor (PF-04457845) in the treatment of cannabis withdrawal and dependence in men: A double-blind, placebo-controlled, parallel group, phase 2a single-site randomised controlled trial. The Lancet. Psychiatry, 6(1), 3545. https://doi.org/10.1016/S2215-0366(18)30427-9CrossRefGoogle Scholar
Dutta, S., Selvam, B., Das, A., & Shukla, D. (2022). Mechanistic origin of partial agonism of tetrahydrocannabinol for cannabinoid receptors. The Journal of Biological Chemistry, 298(4), 101764. https://doi.org/10.1016/j.jbc.2022.101764CrossRefGoogle ScholarPubMed
Feja, M., Leigh, M. P. K., Baindur, A. N., McGraw, J. J., Wakabayashi, K. T., Cravatt, B. F., & Bass, C. E. (2020). The novel MAGL inhibitor MJN110 enhances responding to reward-predictive incentive cues by activation of CB1 receptors. Neuropharmacology, 162, 107814. https://doi.org/10.1016/j.neuropharm.2019.107814CrossRefGoogle ScholarPubMed
Fidelman, S., Mizrachi Zer-Aviv, T., Lange, R., Hillard, C. J., & Akirav, I. (2018). Chronic treatment with URB597 ameliorates post-stress symptoms in a rat model of PTSD. European Neuropsychopharmacology: The Journal of the European College of Neuropsychopharmacology, 28(5), 630642. https://doi.org/10.1016/j.euroneuro.2018.02.004CrossRefGoogle Scholar
Földy, C., Malenka, R. C., & Südhof, T. C. (2013). Autism-associated neuroligin-3 mutations commonly disrupt tonic endocannabinoid signaling. Neuron, 78(3), 498509. https://doi.org/10.1016/j.neuron.2013.02.036CrossRefGoogle ScholarPubMed
Freund, T. F., Katona, I., & Piomelli, D. (2003). Role of endogenous cannabinoids in synaptic signaling. Physiological Reviews, 83(3), 10171066. https://doi.org/10.1152/physrev.00004.2003CrossRefGoogle ScholarPubMed
Galaj, E., & Xi, Z.-X. (2019). Potential of cannabinoid receptor ligands as treatment for substance use disorders. CNS Drugs, 33(10), 10011030. https://doi.org/10.1007/s40263-019-00664-wCrossRefGoogle ScholarPubMed
Ganon-Elazar, E., & Akirav, I. (2009). Cannabinoid receptor activation in the basolateral amygdala blocks the effects of stress on the conditioning and extinction of inhibitory avoidance. The Journal of Neuroscience: The Official Journal of the Society for Neuroscience, 29(36), 1107811088. https://doi.org/10.1523/JNEUROSCI.1223-09.2009CrossRefGoogle ScholarPubMed
Gaoni, Y., & Mechoulam, R. (1964). Isolation, structure, and partial synthesis of an active constituent of hashish. Journal of the American Chemical Society, 86(8), 16461647. https://doi.org/10.1021/ja01062a046CrossRefGoogle Scholar
Garai, S., Leo, L. M., Szczesniak, A.-M., Hurst, D. P., Schaffer, P. C., Zagzoog, A., … Thakur, G. A. (2021). Discovery of a biased allosteric modulator for cannabinoid 1 receptor: Preclinical anti-glaucoma efficacy. Journal of Medicinal Chemistry, 64(12), 81048126. https://doi.org/10.1021/acs.jmedchem.1c00040CrossRefGoogle ScholarPubMed
Gärtner, A., Dörfel, D., Diers, K., Witt, S. H., Strobel, A., & Brocke, B. (2019). Impact of FAAH genetic variation on fronto-amygdala function during emotional processing. European Archives of Psychiatry and Clinical Neuroscience, 269(2), 209221. https://doi.org/10.1007/s00406-018-0944-9CrossRefGoogle ScholarPubMed
Gee, D. G., Fetcho, R. N., Jing, D., Li, A., Glatt, C. E., Drysdale, A. T., … Consortium, P. I. N. G. (2016). Individual differences in frontolimbic circuitry and anxiety emerge with adolescent changes in endocannabinoid signaling across species. Proceedings of the National Academy of Sciences of the United States of America, 113(16), 45004505. https://doi.org/10.1073/pnas.1600013113CrossRefGoogle ScholarPubMed
Gelfand, E. V., & Cannon, C. P. (2006). Rimonabant: A selective blocker of the cannabinoid CB1 receptors for the management of obesity, smoking cessation and cardiometabolic risk factors. Expert Opinion on Investigational Drugs, 15(3), 307315. https://doi.org/10.1517/13543784.15.3.307CrossRefGoogle ScholarPubMed
Gendy, M. N. S., Di Ciano, P., Kowalczyk, W. J., Barrett, S. P., George, T. P., Heishman, S., & Le Foll, B. (2018). Testing the PPAR hypothesis of tobacco use disorder in humans: A randomized trial of the impact of gemfibrozil (a partial PPARα agonist) in smokers. PloS One, 13(9), e0201512. https://doi.org/10.1371/journal.pone.0201512CrossRefGoogle ScholarPubMed
Giorgetti, A., Busardò, F. P., Tittarelli, R., Auwärter, V., & Giorgetti, R. (2020). Post-mortem toxicology: A systematic review of death cases involving synthetic cannabinoid receptor agonists. Frontiers in Psychiatry, 11, 464. https://doi.org/10.3389/fpsyt.2020.00464CrossRefGoogle ScholarPubMed
Godlewski, G., Cinar, R., Coffey, N. J., Liu, J., Jourdan, T., Mukhopadhyay, B., … Kunos, G. (2019). Targeting peripheral CB1 receptors reduces ethanol intake via a gut-brain axis. Cell Metabolism, 29(6), 13201333.e8. https://doi.org/10.1016/j.cmet.2019.04.012CrossRefGoogle Scholar
Gould, G. G., Burke, T. F., Osorio, M. D., Smolik, C. M., Zhang, W. Q., Onaivi, E. S., … Hensler, J. G. (2014). Enhanced novelty-induced corticosterone spike and upregulated serotonin 5-HT1A and cannabinoid CB1 receptors in adolescent BTBR mice. Psychoneuroendocrinology, 39, 158169. https://doi.org/10.1016/j.psyneuen.2013.09.003CrossRefGoogle ScholarPubMed
Gould, G. G., Seillier, A., Weiss, G., Giuffrida, A., Burke, T. F., Hensler, J. G., … Schultz, S. T. (2012). Acetaminophen differentially enhances social behavior and cortical cannabinoid levels in inbred mice. Progress in Neuro-Psychopharmacology & Biological Psychiatry, 38(2), 260269. https://doi.org/10.1016/j.pnpbp.2012.04.011CrossRefGoogle ScholarPubMed
Granchi, C., Bononi, G., Ferrisi, R., Gori, E., Mantini, G., Glasmacher, S., … Chicca, A. (2021). Design, synthesis and biological evaluation of second-generation benzoylpiperidine derivatives as reversible monoacylglycerol lipase (MAGL) inhibitors. European Journal of Medicinal Chemistry, 209, 112857. https://doi.org/10.1016/j.ejmech.2020.112857CrossRefGoogle ScholarPubMed
Gray, J. M., Vecchiarelli, H. A., Morena, M., Lee, T. T. Y., Hermanson, D. J., Kim, A. B., … Hill, M. N. (2015). Corticotropin-releasing hormone drives anandamide hydrolysis in the amygdala to promote anxiety. The Journal of Neuroscience: The Official Journal of the Society for Neuroscience, 35(9), 38793892. https://doi.org/10.1523/JNEUROSCI.2737-14.2015CrossRefGoogle ScholarPubMed
Green, D. G. J., Kim, J., Kish, S. J., Tyndale, R. F., Hill, M. N., Strafella, A. P., … Boileau, I. (2021). Fatty acid amide hydrolase binding is inversely correlated with amygdalar functional connectivity: A combined positron emission tomography and magnetic resonance imaging study in healthy individuals. Journal of Psychiatry & Neuroscience: JPN, 46(2), E238E246. https://doi.org/10.1503/jpn.200010CrossRefGoogle ScholarPubMed
Griebel, G., Stemmelin, J., Lopez-Grancha, M., Fauchey, V., Slowinski, F., Pichat, P., … Bergis, O. E. (2018). The selective reversible FAAH inhibitor, SSR411298, restores the development of maladaptive behaviors to acute and chronic stress in rodents. Scientific Reports, 8(1), 2416. https://doi.org/10.1038/s41598-018-20895-zCrossRefGoogle ScholarPubMed
Gulyas, A. I., Cravatt, B. F., Bracey, M. H., Dinh, T. P., Piomelli, D., Boscia, F., & Freund, T. F. (2004). Segregation of two endocannabinoid-hydrolyzing enzymes into pre- and postsynaptic compartments in the rat hippocampus, cerebellum and amygdala. The European Journal of Neuroscience, 20(2), 441458. https://doi.org/10.1111/j.1460-9568.2004.03428.xCrossRefGoogle ScholarPubMed
Gunduz-Cinar, O., MacPherson, K. P., Cinar, R., Gamble-George, J., Sugden, K., Williams, B., … Holmes, A. (2013). Convergent translational evidence of a role for anandamide in amygdala-mediated fear extinction, threat processing and stress-reactivity. Molecular Psychiatry, 18(7), 813823. https://doi.org/10.1038/mp.2012.72CrossRefGoogle ScholarPubMed
Haj-Dahmane, S., Shen, R.-Y., Elmes, M. W., Studholme, K., Kanjiya, M. P., Bogdan, D., … Kaczocha, M. (2018). Fatty-acid-binding protein 5 controls retrograde endocannabinoid signaling at central glutamate synapses. Proceedings of the National Academy of Sciences of the United States of America, 115(13), 34823487. https://doi.org/10.1073/pnas.1721339115CrossRefGoogle ScholarPubMed
Haller, J., Goldberg, S. R., Pelczer, K. G., Aliczki, M., & Panlilio, L. V. (2013). The effects of anandamide signaling enhanced by the FAAH inhibitor URB597 on coping styles in rats. Psychopharmacology, 230(3), 353362. https://doi.org/10.1007/s00213-013-3161-2CrossRefGoogle ScholarPubMed
Haney, M., Vallée, M., Fabre, S., Collins Reed, S., Zanese, M., Campistron, G., … Piazza, P. V. (2023). Signaling-specific inhibition of the CB1 receptor for cannabis use disorder: Phase 1 and phase 2a randomized trials. Nature Medicine, 29(6), 14871499. https://doi.org/10.1038/s41591-023-02381-wCrossRefGoogle ScholarPubMed
Hardman, H. F., Domino, E. F., & Seevers, M. H. (1971). General pharmacological actions of some synthetic tetrahydrocannabinol derivatives. Pharmacological Reviews, 23(4), 295315.Google ScholarPubMed
Hariri, A. R., Gorka, A., Hyde, L. W., Kimak, M., Halder, I., Ducci, F., … Manuck, S. B. (2009). Divergent effects of genetic variation in endocannabinoid signaling on human threat- and reward-related brain function. Biological Psychiatry, 66(1), 916. https://doi.org/10.1016/j.biopsych.2008.10.047CrossRefGoogle ScholarPubMed
Hasin, D. S. (2018). US epidemiology of cannabis use and associated problems. Neuropsychopharmacology: Official Publication of the American College of Neuropsychopharmacology, 43(1), 195212. https://doi.org/10.1038/npp.2017.198CrossRefGoogle ScholarPubMed
Hill, M. (2015). Perspective: Be clear about the real risks. Nature, 525(7570), S14. https://doi.org/10.1038/525S14aCrossRefGoogle ScholarPubMed
Hill, M. N., & Gorzalka, B. B. (2009). Impairments in endocannabinoid signaling and depressive illness. JAMA, 301(11), 11651166. https://doi.org/10.1001/jama.2009.369CrossRefGoogle ScholarPubMed
Hill, M. N., Karatsoreos, I. N., Hillard, C. J., & McEwen, B. S. (2010). Rapid elevations in limbic endocannabinoid content by glucocorticoid hormones in vivo. Psychoneuroendocrinology, 35(9), 13331338. https://doi.org/10.1016/j.psyneuen.2010.03.005CrossRefGoogle ScholarPubMed
Hill, M. N., Kumar, S. A., Filipski, S. B., Iverson, M., Stuhr, K. L., Keith, J. M., … McEwen, B. S. (2013). Disruption of fatty acid amide hydrolase activity prevents the effects of chronic stress on anxiety and amygdalar microstructure. Molecular Psychiatry, 18(10), 11251135. https://doi.org/10.1038/mp.2012.90CrossRefGoogle ScholarPubMed
Hill, M. N., McLaughlin, R. J., Morrish, A. C., Viau, V., Floresco, S. B., Hillard, C. J., & Gorzalka, B. B. (2009). Suppression of amygdalar endocannabinoid signaling by stress contributes to activation of the hypothalamic-pituitary-adrenal axis. Neuropsychopharmacology: Official Publication of the American College of Neuropsychopharmacology, 34(13), 27332745. https://doi.org/10.1038/npp.2009.114CrossRefGoogle ScholarPubMed
Hillard, C. J. (2015). The endocannabinoid signaling system in the CNS: A primer. International Review of Neurobiology, 125, 147. https://doi.org/10.1016/bs.irn.2015.10.001CrossRefGoogle ScholarPubMed
Hillard, C. J., Huang, H., Vogt, C. D., Rodrigues, B. E., Neumann, T. S., Sem, D. S., … Cunningham, C. W. (2017). Endocannabinoid transport proteins: Discovery of tools to study sterol carrier protein-2. Methods in Enzymology, 593, 99121. https://doi.org/10.1016/bs.mie.2017.06.017CrossRefGoogle ScholarPubMed
Hillard, C. J., & Jarrahian, A. (2003). Cellular accumulation of anandamide: Consensus and controversy. British Journal of Pharmacology, 140(5), 802808. https://doi.org/10.1038/sj.bjp.0705468CrossRefGoogle ScholarPubMed
Hillard, C. J., Wilkison, D. M., Edgemond, W. S., & Campbell, W. B. (1995). Characterization of the kinetics and distribution of N-arachidonylethanolamine (anandamide) hydrolysis by rat brain. Biochimica Et Biophysica Acta, 1257(3), 249256. https://doi.org/10.1016/0005-2760(95)00087-sCrossRefGoogle ScholarPubMed
Hirvonen, J., Goodwin, R. S., Li, C.-T., Terry, G. E., Zoghbi, S. S., Morse, C., … Innis, R. B. (2012). Reversible and regionally selective downregulation of brain cannabinoid CB1 receptors in chronic daily cannabis smokers. Molecular Psychiatry, 17(6), 642649. https://doi.org/10.1038/mp.2011.82CrossRefGoogle ScholarPubMed
Hirvonen, J., Zanotti-Fregonara, P., Gorelick, D. A., Lyoo, C. H., Rallis-Frutos, D., Morse, C., … Innis, R. B. (2018). Decreased cannabinoid CB1 receptors in male tobacco smokers examined with positron emission tomography. Biological Psychiatry, 84(10), 715721. https://doi.org/10.1016/j.biopsych.2018.07.009CrossRefGoogle ScholarPubMed
Hirvonen, J., Zanotti-Fregonara, P., Umhau, J. C., George, D. T., Rallis-Frutos, D., Lyoo, C. H., … Heilig, M. (2013). Reduced cannabinoid CB1 receptor binding in alcohol dependence measured with positron emission tomography. Molecular Psychiatry, 18(8), 916921. https://doi.org/10.1038/mp.2012.100CrossRefGoogle ScholarPubMed
Hosie, S., Malone, D. T., Liu, S., Glass, M., Adlard, P. A., Hannan, A. J., … Hill-Yardin, E. L. (2018). Altered amygdala excitation and CB1 receptor modulation of aggressive behavior in the neuroligin-3R451C mouse model of autism. Frontiers in Cellular Neuroscience, 12, 234. https://www.frontiersin.org/article/10.3389/fncel.2018.00234.CrossRefGoogle Scholar
Houbiers, J. G. A., van Till, J. W. O., Kaper, M., Yavuz, Y., Martina, R. V., Cerneus, D., … Nordling, J. (2021). An adaptive randomized clinical trial in interstitial cystitis/bladder pain syndrome evaluating efficacy of ASP3652 and the relationship between disease characteristics and Hunner's lesions. World Journal of Urology, 39(6), 20652071. https://doi.org/10.1007/s00345-020-03372-zCrossRefGoogle ScholarPubMed
Hsu, H.-C., Tong, S., Zhou, Y., Elmes, M. W., Yan, S., Kaczocha, M., … Li, H. (2017). The antinociceptive agent SBFI-26 binds to anandamide transporters FABP5 and FABP7 at two different sites. Biochemistry, 56(27), 34543462. https://doi.org/10.1021/acs.biochem.7b00194CrossRefGoogle ScholarPubMed
Huang, G. Z., & Woolley, C. S. (2012). Estradiol acutely suppresses inhibition in the hippocampus through a sex-specific endocannabinoid and mGluR-dependent mechanism. Neuron, 74(5), 801808. https://doi.org/10.1016/j.neuron.2012.03.035CrossRefGoogle ScholarPubMed
Huestis, M. A., Boyd, S. J., Heishman, S. J., Preston, K. L., Bonnet, D., Le Fur, G., & Gorelick, D. A. (2007). Single and multiple doses of rimonabant antagonize acute effects of smoked cannabis in male cannabis users. Psychopharmacology, 194(4), 505515. https://doi.org/10.1007/s00213-007-0861-5CrossRefGoogle ScholarPubMed
Huestis, M. A., Gorelick, D. A., Heishman, S. J., Preston, K. L., Nelson, R. A., Moolchan, E. T., & Frank, R. A. (2001). Blockade of effects of smoked marijuana by the CB1-selective cannabinoid receptor antagonist SR141716. Archives of General Psychiatry, 58(4), 322328. https://doi.org/10.1001/archpsyc.58.4.322CrossRefGoogle ScholarPubMed
Huggins, J. P., Smart, T. S., Langman, S., Taylor, L., & Young, T. (2012). An efficient randomised, placebo-controlled clinical trial with the irreversible fatty acid amide hydrolase-1 inhibitor PF-04457845, which modulates endocannabinoids but fails to induce effective analgesia in patients with pain due to osteoarthritis of the knee. Pain, 153(9), 18371846. https://doi.org/10.1016/j.pain.2012.04.020CrossRefGoogle ScholarPubMed
Ignatowska-Jankowska, B. M., Baillie, G. L., Kinsey, S., Crowe, M., Ghosh, S., Owens, R. A., … Ross, R. A. (2015). A cannabinoid CB1 receptor-positive allosteric modulator reduces neuropathic pain in the mouse with no psychoactive effects. Neuropsychopharmacology: Official Publication of the American College of Neuropsychopharmacology, 40(13), 29482959. https://doi.org/10.1038/npp.2015.148CrossRefGoogle ScholarPubMed
Jacobson, M. R., Watts, J. J., Da Silva, T., Tyndale, R. F., Rusjan, P. M., Houle, S., … Mizrahi, R. (2021). Fatty acid amide hydrolase is lower in young cannabis users. Addiction Biology, 26(1), e12872. https://doi.org/10.1111/adb.12872CrossRefGoogle ScholarPubMed
Jamain, S., Quach, H., Betancur, C., Råstam, M., Colineaux, C., Gillberg, I. C., … Paris Autism Research International Sibpair Study. (2003). Mutations of the X-linked genes encoding neuroligins NLGN3 and NLGN4 are associated with autism. Nature Genetics, 34(1), 2729. https://doi.org/10.1038/ng1136CrossRefGoogle ScholarPubMed
Janssen Research & Development, LLC. (2022). A Phase 2a Randomized, Double-blind, Placebo-Controlled, Parallel-Group, Multi-center Study Investigating the Efficacy, Safety, and Tolerability of JNJ-42165279 in Subjects With Major Depressive Disorder With Anxious Distress (Clinical Trial Registration No. NCT02498392). clinicaltrials.gov. Retrieved from clinicaltrials.gov website: https://clinicaltrials.gov/ct2/show/NCT02498392Google Scholar
Jarrahian, A., Manna, S., Edgemond, W. S., Campbell, W. B., & Hillard, C. J. (2000). Structure-activity relationships among N-arachidonylethanolamine (Anandamide) head group analogues for the anandamide transporter. Journal of Neurochemistry, 74(6), 25972606. https://doi.org/10.1046/j.1471-4159.2000.0742597.xCrossRefGoogle ScholarPubMed
Johnson, D. S., Stiff, C., Lazerwith, S. E., Kesten, S. R., Fay, L. K., Morris, M., … Ahn, K. (2011). Discovery of PF-04457845: A highly potent, orally bioavailable, and selective urea FAAH inhibitor. ACS Medicinal Chemistry Letters, 2(2), 9196. https://doi.org/10.1021/ml100190tCrossRefGoogle ScholarPubMed
Johnson, M. R., Melvin, L. S., Althuis, T. H., Bindra, J. S., Harbert, C. A., Milne, G. M., & Weissman, A. (1981). Selective and potent analgetics derived from cannabinoids. Journal of Clinical Pharmacology, 21(S1), 271S282S. https://doi.org/10.1002/j.1552-4604.1981.tb02605.xCrossRefGoogle ScholarPubMed
Jung, K.-M., Sepers, M., Henstridge, C. M., Lassalle, O., Neuhofer, D., Martin, H., … Manzoni, O. J. (2012). Uncoupling of the endocannabinoid signalling complex in a mouse model of fragile X syndrome. Nature Communications, 3, 1080. https://doi.org/10.1038/ncomms2045CrossRefGoogle Scholar
Justinova, Z., Mangieri, R. A., Bortolato, M., Chefer, S. I., Mukhin, A. G., Clapper, J. R., … Goldberg, S. R. (2008). Fatty acid amide hydrolase inhibition heightens anandamide signaling without producing reinforcing effects in primates. Biological Psychiatry, 64(11), 930937. https://doi.org/10.1016/j.biopsych.2008.08.008CrossRefGoogle ScholarPubMed
Kaczocha, M., & Haj-Dahmane, S. (2021). Mechanisms of endocannabinoid transport in the brain. British Journal of Pharmacology, 179(17), 43004310. https://doi.org/10.1111/bph.15469.CrossRefGoogle ScholarPubMed
Kaczocha, M., Vivieca, S., Sun, J., Glaser, S. T., & Deutsch, D. G. (2012). Fatty acid-binding proteins transport N-acylethanolamines to nuclear receptors and are targets of endocannabinoid transport inhibitors. The Journal of Biological Chemistry, 287(5), 34153424. https://doi.org/10.1074/jbc.M111.304907CrossRefGoogle ScholarPubMed
Karhson, D. S., Krasinska, K. M., Dallaire, J. A., Libove, R. A., Phillips, J. M., Chien, A. S., … Parker, K. J. (2018). Plasma anandamide concentrations are lower in children with autism spectrum disorder. Molecular Autism, 9, 18. https://doi.org/10.1186/s13229-018-0203-yCrossRefGoogle ScholarPubMed
Kathuria, S., Gaetani, S., Fegley, D., Valiño, F., Duranti, A., Tontini, A., … Piomelli, D. (2003). Modulation of anxiety through blockade of anandamide hydrolysis. Nature Medicine, 9(1), 7681. https://doi.org/10.1038/nm803CrossRefGoogle ScholarPubMed
Katz, P. S., Sulzer, J. K., Impastato, R. A., Teng, S. X., Rogers, E. K., & Molina, P. E. (2015). Endocannabinoid degradation inhibition improves neurobehavioral function, blood-brain barrier integrity, and neuroinflammation following mild traumatic brain injury. Journal of Neurotrauma, 32(5), 297306. https://doi.org/10.1089/neu.2014.3508CrossRefGoogle ScholarPubMed
Kaufmann, W. E., Kidd, S. A., Andrews, H. F., Budimirovic, D. B., Esler, A., Haas-Givler, B., … Berry-Kravis, E. (2017). Autism spectrum disorder in fragile X syndrome: Cooccurring conditions and current treatment. Pediatrics, 139(Supplement_3), S194S206. https://doi.org/10.1542/peds.2016-1159FCrossRefGoogle ScholarPubMed
Kearn, C. S., Greenberg, M. J., DiCamelli, R., Kurzawa, K., & Hillard, C. J. (1999). Relationships between ligand affinities for the cerebellar cannabinoid receptor CB1 and the induction of GDP/GTP exchange. Journal of Neurochemistry, 72(6), 23792387. https://doi.org/10.1046/j.1471-4159.1999.0722379.xCrossRefGoogle ScholarPubMed
Kerr, D. M., Downey, L., Conboy, M., Finn, D. P., & Roche, M. (2013). Alterations in the endocannabinoid system in the rat valproic acid model of autism. Behavioural Brain Research, 249, 124132. https://doi.org/10.1016/j.bbr.2013.04.043CrossRefGoogle ScholarPubMed
Kerr, D. M., Gilmartin, A., & Roche, M. (2016). Pharmacological inhibition of fatty acid amide hydrolase attenuates social behavioural deficits in male rats prenatally exposed to valproic acid. Pharmacological Research, 113(Pt A), 228235. https://doi.org/10.1016/j.phrs.2016.08.033CrossRefGoogle ScholarPubMed
Kinsey, S. G., Wise, L. E., Ramesh, D., Abdullah, R., Selley, D. E., Cravatt, B. F., & Lichtman, A. H. (2013). Repeated low-dose administration of the monoacylglycerol lipase inhibitor JZL184 retains cannabinoid receptor type 1-mediated antinociceptive and gastroprotective effects. The Journal of Pharmacology and Experimental Therapeutics, 345(3), 492501. https://doi.org/10.1124/jpet.112.201426CrossRefGoogle ScholarPubMed
Kouchi, Z. (2015). Monoacylglycerol lipase promotes Fcγ receptor-mediated phagocytosis in microglia but does not regulate LPS-induced upregulation of inflammatory cytokines. Biochemical and Biophysical Research Communications, 464(2), 603610. https://doi.org/10.1016/j.bbrc.2015.07.019CrossRefGoogle Scholar
Laprairie, R. B., Bagher, A. M., Rourke, J. L., Zrein, A., Cairns, E. A., Kelly, M. E. M., … Denovan-Wright, E. M. (2019). Positive allosteric modulation of the type 1 cannabinoid receptor reduces the signs and symptoms of Huntington's disease in the R6/2 mouse model. Neuropharmacology, 151, 112. https://doi.org/10.1016/j.neuropharm.2019.03.033CrossRefGoogle ScholarPubMed
Laprairie, R. B., Kulkarni, P. M., Deschamps, J. R., Kelly, M. E. M., Janero, D. R., Cascio, M. G., … Thakur, G. A. (2017). Enantiospecific allosteric modulation of cannabinoid 1 receptor. ACS Chemical Neuroscience, 8(6), 11881203. https://doi.org/10.1021/acschemneuro.6b00310CrossRefGoogle ScholarPubMed
Leuschner, J. T., Harvey, D. J., Bullingham, R. E., & Paton, W. D. (1986). Pharmacokinetics of delta 9-tetrahydrocannabinol in rabbits following single or multiple intravenous doses. Drug Metabolism and Disposition: The Biological Fate of Chemicals, 14(2), 230238.Google ScholarPubMed
Leweke, F. M., Piomelli, D., Pahlisch, F., Muhl, D., Gerth, C. W., Hoyer, C., … Koethe, D. (2012). Cannabidiol enhances anandamide signaling and alleviates psychotic symptoms of schizophrenia. Translational Psychiatry, 2, e94. https://doi.org/10.1038/tp.2012.15CrossRefGoogle ScholarPubMed
Li, G. L., Winter, H., Arends, R., Jay, G. W., Le, V., Young, T., & Huggins, J. P. (2012). Assessment of the pharmacology and tolerability of PF-04457845, an irreversible inhibitor of fatty acid amide hydrolase-1, in healthy subjects. British Journal of Clinical Pharmacology, 73(5), 706716. https://doi.org/10.1111/j.1365-2125.2011.04137.xCrossRefGoogle ScholarPubMed
Liedhegner, E. S., Vogt, C. D., Sem, D. S., Cunningham, C. W., & Hillard, C. J. (2014). Sterol carrier protein-2: Binding protein for endocannabinoids. Molecular Neurobiology, 50(1), 149158. https://doi.org/10.1007/s12035-014-8651-7CrossRefGoogle ScholarPubMed
Long, J. Z., Li, W., Booker, L., Burston, J. J., Kinsey, S. G., Schlosburg, J. E., … Cravatt, B. F. (2009). Selective blockade of 2-arachidonoylglycerol hydrolysis produces cannabinoid behavioral effects. Nature Chemical Biology, 5(1), 3744. https://doi.org/10.1038/nchembio.129CrossRefGoogle ScholarPubMed
Lutz, B. (2020). Neurobiology of cannabinoid receptor signaling. Dialogues in Clinical Neuroscience, 22(3), 207222. https://doi.org/10.31887/DCNS.2020.22.3/blutzCrossRefGoogle ScholarPubMed
Mackie, K., & Hille, B. (1992). Cannabinoids inhibit N-type calcium channels in neuroblastoma-glioma cells. Proceedings of the National Academy of Sciences of the United States of America, 89(9), 38253829. https://doi.org/10.1073/pnas.89.9.3825CrossRefGoogle ScholarPubMed
Marrs, W. R., Blankman, J. L., Horne, E. A., Thomazeau, A., Lin, Y. H., Coy, J., … Stella, N. (2010). The serine hydrolase ABHD6 controls the accumulation and efficacy of 2-AG at cannabinoid receptors. Nature Neuroscience, 13(8), 951957. https://doi.org/10.1038/nn.2601CrossRefGoogle ScholarPubMed
Marrs, W. R., Horne, E. A., Ortega-Gutierrez, S., Cisneros, J. A., Xu, C., Lin, Y. H., … Stella, N. (2011). Dual inhibition of alpha/beta-hydrolase domain 6 and fatty acid amide hydrolase increases endocannabinoid levels in neurons. The Journal of Biological Chemistry, 286(33), 2872328728. https://doi.org/10.1074/jbc.M110.202853CrossRefGoogle ScholarPubMed
Marsicano, G., Wotjak, C. T., Azad, S. C., Bisogno, T., Rammes, G., Cascio, M. G., … Lutz, B. (2002). The endogenous cannabinoid system controls extinction of aversive memories. Nature, 418(6897), 530534. https://doi.org/10.1038/nature00839CrossRefGoogle ScholarPubMed
Martin, B. R., Compton, D. R., Semus, S. F., Lin, S., Marciniak, G., Grzybowska, J., … Makriyannis, A. (1993). Pharmacological evaluation of iodo and nitro analogs of delta 8-THC and delta 9-THC. Pharmacology, Biochemistry, and Behavior, 46(2), 295301. https://doi.org/10.1016/0091-3057(93)90356-xCrossRefGoogle ScholarPubMed
Matheson, J., & Le Foll, B. (2020). Cannabis legalization and acute harm from high potency cannabis products: A narrative review and recommendations for public health. Frontiers in Psychiatry, 11, 591979. https://doi.org/10.3389/fpsyt.2020.591979CrossRefGoogle ScholarPubMed
Mayo, L. M., Asratian, A., Lindé, J., Holm, L., Nätt, D., Augier, G., … Heilig, M. (2020a). Protective effects of elevated anandamide on stress and fear-related behaviors: Translational evidence from humans and mice. Molecular Psychiatry, 25(5), 9931005. https://doi.org/10.1038/s41380-018-0215-1CrossRefGoogle ScholarPubMed
Mayo, L. M., Asratian, A., Lindé, J., Morena, M., Haataja, R., Hammar, V., … Heilig, M. (2020b). Elevated anandamide, enhanced recall of fear extinction, and attenuated stress responses following inhibition of fatty acid amide hydrolase: A randomized, controlled experimental medicine trial. Biological Psychiatry, 87(6), 538547. https://doi.org/10.1016/j.biopsych.2019.07.034CrossRefGoogle ScholarPubMed
Mayo, L. M., Rabinak, C. A., Hill, M. N., & Heilig, M. (2022). Targeting the endocannabinoid system in the treatment of posttraumatic stress disorder: A promising case of preclinical-clinical translation? Biological Psychiatry, 91(3), 262272. https://doi.org/10.1016/j.biopsych.2021.07.019CrossRefGoogle ScholarPubMed
McElroy, D. L., Roebuck, A. J., Scott, G. A., Greba, Q., Garai, S., Denovan-Wright, E. M., … Howland, J. G. (2021). Antipsychotic potential of the type 1 cannabinoid receptor positive allosteric modulator GAT211: Preclinical in vitro and in vivo studies. Psychopharmacology, 238(4), 10871098. https://doi.org/10.1007/s00213-020-05755-xCrossRefGoogle ScholarPubMed
McReynolds, J. R., Doncheck, E. M., Li, Y., Vranjkovic, O., Graf, E. N., Ogasawara, D., … Mantsch, J. R. (2018). Stress promotes drug-seeking through glucocorticoid-dependent endocannabinoid mobilization in the prelimbic cortex. Biological Psychiatry, 84(2), 8594. https://doi.org/10.1016/j.biopsych.2017.09.024CrossRefGoogle ScholarPubMed
McReynolds, J. R., Doncheck, E. M., Vranjkovic, O., Ganzman, G. S., Baker, D. A., Hillard, C. J., & Mantsch, J. R. (2016). CB1 receptor antagonism blocks stress-potentiated reinstatement of cocaine seeking in rats. Psychopharmacology, 233(1), 99109. https://doi.org/10.1007/s00213-015-4092-xCrossRefGoogle ScholarPubMed
Mechoulam, R., & Parker, L. A. (2013). The endocannabinoid system and the brain. Annual Review of Psychology, 64, 2147. https://doi.org/10.1146/annurev-psych-113011-143739CrossRefGoogle ScholarPubMed
Melis, M., & Pistis, M. (2014). Targeting the interaction between fatty acid ethanolamides and nicotinic receptors: Therapeutic perspectives. Pharmacological Research, 86, 4249. https://doi.org/10.1016/j.phrs.2014.03.009CrossRefGoogle ScholarPubMed
Meyza, K. Z., Defensor, E. B., Jensen, A. L., Corley, M. J., Pearson, B. L., Pobbe, R. L. H., … Blanchard, R. J. (2013). The BTBR T + tf/J mouse model for autism spectrum disorders-in search of biomarkers. Behavioural Brain Research, 251, 2534. https://doi.org/10.1016/j.bbr.2012.07.021CrossRefGoogle ScholarPubMed
Miller, S., Daily, L., Dharla, V., Gertsch, J., Malamas, M. S., Ojima, I., … Straiker, A. (2020). Endocannabinoid metabolism and transport as targets to regulate intraocular pressure. Experimental Eye Research, 201, 108266. https://doi.org/10.1016/j.exer.2020.108266CrossRefGoogle ScholarPubMed
Morena, M., Berardi, A., Colucci, P., Palmery, M., Trezza, V., Hill, M. N., & Campolongo, P. (2018). Enhancing endocannabinoid neurotransmission augments the efficacy of extinction training and ameliorates traumatic stress-induced behavioral alterations in rats. Neuropsychopharmacology: Official Publication of the American College of Neuropsychopharmacology, 43(6), 12841296. https://doi.org/10.1038/npp.2017.305CrossRefGoogle ScholarPubMed
Morena, M., Nastase, A. S., Santori, A., Cravatt, B. F., Shansky, R. M., & Hill, M. N. (2021). Sex-dependent effects of endocannabinoid modulation of conditioned fear extinction in rats. British Journal of Pharmacology, 178(4), 983996. https://doi.org/10.1111/bph.15341CrossRefGoogle ScholarPubMed
Morena, M., Patel, S., Bains, J. S., & Hill, M. N. (2016). Neurobiological interactions between stress and the endocannabinoid system. Neuropsychopharmacology: Official Publication of the American College of Neuropsychopharmacology, 41(1), 80102. https://doi.org/10.1038/npp.2015.166CrossRefGoogle ScholarPubMed
Moreno-Luna, R., Esteban, P. F., Paniagua-Torija, B., Arevalo-Martin, A., Garcia-Ovejero, D., & Molina-Holgado, E. (2021). Heterogeneity of the endocannabinoid system between cerebral cortex and spinal cord oligodendrocytes. Molecular Neurobiology, 58(2), 689702. https://doi.org/10.1007/s12035-020-02148-1CrossRefGoogle ScholarPubMed
Mu, J., Zhuang, S. Y., Kirby, M. T., Hampson, R. E., & Deadwyler, S. A. (1999). Cannabinoid receptors differentially modulate potassium A and D currents in hippocampal neurons in culture. The Journal of Pharmacology and Experimental Therapeutics, 291(2), 893902.Google Scholar
Müller-Vahl, K. R., Fremer, C., Beals, C., Ivkovic, J., Loft, H., & Schindler, C. (2022). Endocannabinoid modulation using monoacylglycerol lipase inhibition in Tourette syndrome: A phase 1 randomized, placebo-controlled study. Pharmacopsychiatry, 55(3), 148156. https://doi.org/10.1055/a-1675-3494Google ScholarPubMed
Myers-Payne, S. C., Fontaine, R. N., Loeffler, A., Pu, L., Rao, A. M., Kier, A. B., … Schroeder, F. (1996). Effects of chronic ethanol consumption on sterol transfer proteins in mouse brain. Journal of Neurochemistry, 66(1), 313320. https://doi.org/10.1046/j.1471-4159.1996.66010313.xCrossRefGoogle ScholarPubMed
Natividad, L. A., Buczynski, M. W., Herman, M. A., Kirson, D., Oleata, C. S., Irimia, C., … Parsons, L. H. (2017). Constitutive increases in amygdalar corticotropin-releasing factor and fatty acid amide hydrolase drive an anxious phenotype. Biological Psychiatry, 82(7), 500510. https://doi.org/10.1016/j.biopsych.2017.01.005CrossRefGoogle ScholarPubMed
Navarria, A., Tamburella, A., Iannotti, F. A., Micale, V., Camillieri, G., Gozzo, L., … Di Marzo, V. (2014). The dual blocker of FAAH/TRPV1 N-arachidonoylserotonin reverses the behavioral despair induced by stress in rats and modulates the HPA-axis. Pharmacological Research, 87, 151159. https://doi.org/10.1016/j.phrs.2014.04.014CrossRefGoogle ScholarPubMed
Naydenov, A. V., Horne, E. A., Cheah, C. S., Swinney, K., Hsu, K.-L., Cao, J. K., … Stella, N. (2014). ABHD6 blockade exerts antiepileptic activity in PTZ-induced seizures and in spontaneous seizures in R6/2 mice. Neuron, 83(2), 361371. https://doi.org/10.1016/j.neuron.2014.06.030CrossRefGoogle ScholarPubMed
Neumeyer, A. M., Anixt, J., Chan, J., Perrin, J. M., Murray, D., Coury, D. L., … Parker, R. A. (2019). Identifying associations among co-occurring medical conditions in children with autism spectrum disorders. Academic Pediatrics, 19(3), 300306. https://doi.org/10.1016/j.acap.2018.06.014CrossRefGoogle ScholarPubMed
Nguyen, T., Thomas, B. F., & Zhang, Y. (2019). Overcoming the psychiatric side effects of the cannabinoid CB1 receptor antagonists: Current approaches for therapeutics development. Current Topics in Medicinal Chemistry, 19(16), 14181435. https://doi.org/10.2174/1568026619666190708164841CrossRefGoogle ScholarPubMed
Nguyen, T. A., Lehr, A. W., & Roche, K. W. (2020). Neuroligins and neurodevelopmental disorders: X-linked genetics. Frontiers in Synaptic Neuroscience, 12, 33. https://www.frontiersin.org/articles/10.3389/fnsyn.2020.00033.CrossRefGoogle ScholarPubMed
Nogueron, M. I., Porgilsson, B., Schneider, W. E., Stucky, C. L., & Hillard, C. J. (2001). Cannabinoid receptor agonists inhibit depolarization-induced calcium influx in cerebellar granule neurons. Journal of Neurochemistry, 79(2), 371381. https://doi.org/10.1046/j.1471-4159.2001.00567.xCrossRefGoogle ScholarPubMed
Nomura, D. K., Morrison, B. E., Blankman, J. L., Long, J. Z., Kinsey, S. G., Marcondes, M. C. G., … Cravatt, B. F. (2011). Endocannabinoid hydrolysis generates brain prostaglandins that promote neuroinflammation. Science (New York, N.Y.), 334(6057), 809813. https://doi.org/10.1126/science.1209200CrossRefGoogle ScholarPubMed
Onaivi, E. S., Benno, R., Halpern, T., Mehanovic, M., Schanz, N., Sanders, C., … Ali, S. F. (2011). Consequences of cannabinoid and monoaminergic system disruption in a mouse model of autism spectrum disorders. Current Neuropharmacology, 9(1), 209214. https://doi.org/10.2174/157015911795017047CrossRefGoogle Scholar
Orio, L., Alen, F., Pavón, F. J., Serrano, A., & García-Bueno, B. (2018). Oleoylethanolamide, neuroinflammation, and alcohol abuse. Frontiers in Molecular Neuroscience, 11, 490. https://doi.org/10.3389/fnmol.2018.00490CrossRefGoogle ScholarPubMed
Pan, B., Wang, W., Long, J. Z., Sun, D., Hillard, C. J., Cravatt, B. F., & Liu, Q. (2009). Blockade of 2-arachidonoylglycerol hydrolysis by selective monoacylglycerol lipase inhibitor 4-nitrophenyl 4-(dibenzo[d][1,3]dioxol-5-yl(hydroxy)methyl)piperidine-1-carboxylate (JZL184) enhances retrograde endocannabinoid signaling. The Journal of Pharmacology and Experimental Therapeutics, 331(2), 591597. https://doi.org/10.1124/jpet.109.158162CrossRefGoogle Scholar
Parsons, L. H., & Hurd, Y. L. (2015). Endocannabinoid signalling in reward and addiction. Nature Reviews. Neuroscience, 16(10), 579594. https://doi.org/10.1038/nrn4004CrossRefGoogle ScholarPubMed
Patel, S., Roelke, C. T., Rademacher, D. J., Cullinan, W. E., & Hillard, C. J. (2004). Endocannabinoid signaling negatively modulates stress-induced activation of the hypothalamic–pituitary–adrenal axis. Endocrinology, 145(12), 54315438. https://doi.org/10.1210/en.2004-0638CrossRefGoogle ScholarPubMed
Patilea-Vrana, G. I., Anoshchenko, O., & Unadkat, J. D. (2019). Hepatic enzymes relevant to the disposition of (-)-Δ9–Tetrahydrocannabinol (THC) and its psychoactive metabolite, 11-OH-THC. Drug Metabolism and Disposition: The Biological Fate of Chemicals, 47(3), 249256. https://doi.org/10.1124/dmd.118.085548CrossRefGoogle Scholar
Paulus, M. P., Stein, M. B., Simmons, A. N., Risbrough, V. B., Halter, R., & Chaplan, S. R. (2021). The effects of FAAH inhibition on the neural basis of anxiety-related processing in healthy male subjects: A randomized clinical trial. Neuropsychopharmacology: Official Publication of the American College of Neuropsychopharmacology, 46(5), 10111019. https://doi.org/10.1038/s41386-020-00936-wCrossRefGoogle ScholarPubMed
Perkins, K. A., Karelitz, J. L., Michael, V. C., Fromuth, M., Conklin, C. A., Chengappa, K. N. R., … Lerman, C. (2016). Initial evaluation of fenofibrate for efficacy in aiding smoking abstinence. Nicotine & Tobacco Research: Official Journal of the Society for Research on Nicotine and Tobacco, 18(1), 7478. https://doi.org/10.1093/ntr/ntv085Google ScholarPubMed
Pitler, T. A., & Alger, B. E. (1994). Depolarization-induced suppression of GABAergic inhibition in rat hippocampal pyramidal cells: G protein involvement in a presynaptic mechanism. Neuron, 13(6), 14471455. https://doi.org/10.1016/0896-6273(94)90430-8Google Scholar
Postnov, A., Schmidt, M. E., Pemberton, D. J., de Hoon, J., van Hecken, A., van den Boer, M., … van Laere, K. (2018). Fatty acid amide hydrolase inhibition by JNJ-42165279: A multiple-ascending dose and a positron emission tomography study in healthy volunteers. Clinical and Translational Science, 11(4), 397404. https://doi.org/10.1111/cts.12548CrossRefGoogle Scholar
Qin, M., Zeidler, Z., Moulton, K., Krych, L., Xia, Z., & Smith, C. B. (2015). Endocannabinoid-mediated improvement on a test of aversive memory in a mouse model of fragile X syndrome. Behavioural Brain Research, 291, 164171. https://doi.org/10.1016/j.bbr.2015.05.003CrossRefGoogle Scholar
Robinson, J. D., Cinciripini, P. M., Karam-Hage, M., Aubin, H.-J., Dale, L. C., Niaura, R., … Group, S. T. R. A. T. U. S. (2018). Pooled analysis of three randomized, double-blind, placebo controlled trials with rimonabant for smoking cessation. Addiction Biology, 23(1), 291303. https://doi.org/10.1111/adb.12508CrossRefGoogle ScholarPubMed
Rodríguez-Arias, M., Navarrete, F., Blanco-Gandia, M. C., Arenas, M. C., Aguilar, M. A., Bartoll-Andrés, A., … Manzanares, J. (2015). Role of CB2 receptors in social and aggressive behavior in male mice. Psychopharmacology, 232(16), 30193031. https://doi.org/10.1007/s00213-015-3939-5CrossRefGoogle ScholarPubMed
Rodriguez-Arias, M., Navarrete, F., Daza-Losada, M., Navarro, D., Aguilar, M. A., Berbel, P., … Manzanares, J. (2013). CB1 cannabinoid receptor-mediated aggressive behavior. Neuropharmacology, 75, 172180. https://doi.org/10.1016/j.neuropharm.2013.07.013CrossRefGoogle ScholarPubMed
Rossi, G., Gasperi, V., Paro, R., Barsacchi, D., Cecconi, S., & Maccarrone, M. (2007). Follicle-stimulating hormone activates fatty acid amide hydrolase by protein kinase A and aromatase-dependent pathways in mouse primary Sertoli cells. Endocrinology, 148(3), 14311439. https://doi.org/10.1210/en.2006-0969CrossRefGoogle ScholarPubMed
Rothwell, P. E., Fuccillo, M. V., Maxeiner, S., Hayton, S. J., Gokce, O., Lim, B. K., … Südhof, T. C. (2014). Autism-associated neuroligin-3 mutations commonly impair striatal circuits to boost repetitive behaviors. Cell, 158(1), 198212. https://doi.org/10.1016/j.cell.2014.04.045CrossRefGoogle ScholarPubMed
Sagheddu, C., Torres, L. H., Marcourakis, T., & Pistis, M. (2020). Endocannabinoid-like lipid neuromodulators in the regulation of dopamine signaling: Relevance for drug addiction. Frontiers in Synaptic Neuroscience, 12, 588660. https://doi.org/10.3389/fnsyn.2020.588660CrossRefGoogle ScholarPubMed
Sanofi. (2013). An Eight-week, Multicenter, Randomized, Double-blind, Placebo-controlled Dose-finding Study, With Escitalopram (10 mg Daily) as Active Control, to Evaluate the Efficacy, Safety and Tolerability of Three Fixed Doses of SSR411298 (10, 50, or 200 mg Daily) in Elderly Patients With Major Depressive Disorder (Clinical Trial Registration No. NCT00822744). clinicaltrials.gov. Retrieved from clinicaltrials.gov website: https://clinicaltrials.gov/ct2/show/NCT00822744Google Scholar
Saravia, R., Ten-Blanco, M., Pereda-Pérez, I., & Berrendero, F. (2021). New insights in the involvement of the endocannabinoid system and natural cannabinoids in nicotine dependence. International Journal of Molecular Sciences, 22(24), 13316. https://doi.org/10.3390/ijms222413316CrossRefGoogle ScholarPubMed
Schlosburg, J. E., Blankman, J. L., Long, J. Z., Nomura, D. K., Pan, B., Kinsey, S. G., … Cravatt, B. F. (2010). Chronic monoacylglycerol lipase blockade causes functional antagonism of the endocannabinoid system. Nature Neuroscience, 13(9), 11131119. https://doi.org/10.1038/nn.2616CrossRefGoogle ScholarPubMed
Schlosburg, J. E., Carlson, B. L. A., Ramesh, D., Abdullah, R. A., Long, J. Z., Cravatt, B. F., & Lichtman, A. H. (2009). Inhibitors of endocannabinoid-metabolizing enzymes reduce precipitated withdrawal responses in THC-dependent mice. The AAPS Journal, 11(2), 342352. https://doi.org/10.1208/s12248-009-9110-7CrossRefGoogle ScholarPubMed
Schmidt, M. E., Liebowitz, M. R., Stein, M. B., Grunfeld, J., Van Hove, I., Simmons, W. K., … Drevets, W. C. (2021). The effects of inhibition of fatty acid amide hydrolase (FAAH) by JNJ-42165279 in social anxiety disorder: A double-blind, randomized, placebo-controlled proof-of-concept study. Neuropsychopharmacology: Official Publication of the American College of Neuropsychopharmacology, 46(5), 10041010. https://doi.org/10.1038/s41386-020-00888-1CrossRefGoogle ScholarPubMed
Sciolino, N. R., Zhou, W., & Hohmann, A. G. (2011). Enhancement of endocannabinoid signaling with JZL184, an inhibitor of the 2-arachidonoylglycerol hydrolyzing enzyme monoacylglycerol lipase, produces anxiolytic effects under conditions of high environmental aversiveness in rats. Pharmacological Research, 64(3), 226234. https://doi.org/10.1016/j.phrs.2011.04.010CrossRefGoogle ScholarPubMed
Servadio, M., Melancia, F., Manduca, A., di Masi, A., Schiavi, S., Cartocci, V., … Trezza, V. (2016). Targeting anandamide metabolism rescues core and associated autistic-like symptoms in rats prenatally exposed to valproic acid. Translational Psychiatry, 6(9), e902. https://doi.org/10.1038/tp.2016.182CrossRefGoogle ScholarPubMed
Sideli, L., Quigley, H., La Cascia, C., & Murray, R. M. (2020). Cannabis use and the risk for psychosis and affective disorders. Journal of Dual Diagnosis, 16(1), 2242. https://doi.org/10.1080/15504263.2019.1674991CrossRefGoogle ScholarPubMed
Siniscalco, D., Sapone, A., Giordano, C., Cirillo, A., de Magistris, L., Rossi, F., … Antonucci, N. (2013). Cannabinoid receptor type 2, but not type 1, is up-regulated in peripheral blood mononuclear cells of children affected by autistic disorders. Journal of Autism and Developmental Disorders, 43(11), 26862695. https://doi.org/10.1007/s10803-013-1824-9CrossRefGoogle Scholar
Sisk, L. M., Rapuano, K. M., Conley, M. I., Greene, A. S., Horien, C., Rosenberg, M. D., … Gee, D. G. (2022). Genetic variation in endocannabinoid signaling is associated with differential network-level functional connectivity in youth. Journal of Neuroscience Research, 100(3), 731743. https://doi.org/10.1002/jnr.24946CrossRefGoogle ScholarPubMed
Slivicki, R. A., Xu, Z., Kulkarni, P. M., Pertwee, R. G., Mackie, K., Thakur, G. A., & Hohmann, A. G. (2018). Positive allosteric modulation of cannabinoid receptor type 1 suppresses pathological pain without producing tolerance or dependence. Biological Psychiatry, 84(10), 722733. https://doi.org/10.1016/j.biopsych.2017.06.032CrossRefGoogle ScholarPubMed
Soyka, M., Koller, G., Schmidt, P., Lesch, O.-M., Leweke, M., Fehr, C., … ACTOL Study Investigators. (2008). Cannabinoid receptor 1 blocker rimonabant (SR 141716) for treatment of alcohol dependence: Results from a placebo-controlled, double-blind trial. Journal of Clinical Psychopharmacology, 28(3), 317324. https://doi.org/10.1097/JCP.0b013e318172b8bcCrossRefGoogle ScholarPubMed
Spagnolo, P. A., Ramchandani, V. A., Schwandt, M. L., Kwako, L. E., George, D. T., Mayo, L. M., … Heilig, M. (2016). FAAH gene variation moderates stress response and symptom severity in patients with posttraumatic stress disorder and comorbid alcohol dependence. Alcoholism, Clinical and Experimental Research, 40(11), 24262434. https://doi.org/10.1111/acer.13210CrossRefGoogle ScholarPubMed
Spanagel, R. (2020). Cannabinoids and the endocannabinoid system in reward processing and addiction: From mechanisms to interventions. Dialogues in Clinical Neuroscience, 22(3), 241250. https://doi.org/10.31887/DCNS.2020.22.3/rspanagelCrossRefGoogle ScholarPubMed
Speed, H. E., Masiulis, I., Gibson, J. R., & Powell, C. M. (2015). Increased cortical inhibition in autism-linked neuroligin-3R451C mice is due in part to loss of endocannabinoid signaling. PLOS ONE, 10(10), e0140638. https://doi.org/10.1371/journal.pone.0140638CrossRefGoogle ScholarPubMed
Spindle, T. R., Kuwabara, H., Eversole, A., Nandi, A., Vandrey, R., Antoine, D. G., … Weerts, E. M. (2021). Brain imaging of cannabinoid type I (CB1) receptors in women with cannabis use disorder and male and female healthy controls. Addiction Biology, 26(6), e13061. https://doi.org/10.1111/adb.13061CrossRefGoogle ScholarPubMed
Stanciu, C. N., Brunette, M. F., Teja, N., & Budney, A. J. (2021). Evidence for use of cannabinoids in mood disorders, anxiety disorders, and PTSD: A systematic review. Psychiatric Services (Washington, D.C.), 72(4), 429436. https://doi.org/10.1176/appi.ps.202000189CrossRefGoogle ScholarPubMed
Sticht, M. A., Lau, D. J., Keenan, C. M., Cavin, J.-B., Morena, M., Vemuri, V. K., … Hill, M. N. (2019). Endocannabinoid regulation of homeostatic feeding and stress-induced alterations in food intake in male rats. British Journal of Pharmacology, 176(10), 15241540. https://doi.org/10.1111/bph.14453CrossRefGoogle ScholarPubMed
Sumislawski, J. J., Ramikie, T. S., & Patel, S. (2011). Reversible gating of endocannabinoid plasticity in the amygdala by chronic stress: A potential role for monoacylglycerol lipase inhibition in the prevention of stress-induced behavioral adaptation. Neuropsychopharmacology: Official Publication of the American College of Neuropsychopharmacology, 36(13), 27502761. https://doi.org/10.1038/npp.2011.166CrossRefGoogle ScholarPubMed
Tabuchi, K., Blundell, J., Etherton, M. R., Hammer, R. E., Liu, X., Powell, C. M., & Südhof, T. C. (2007). A neuroligin-3 mutation implicated in autism increases inhibitory synaptic transmission in mice. Science (New York, N.Y.), 318(5847), 7176. https://doi.org/10.1126/science.1146221CrossRefGoogle ScholarPubMed
Tchantchou, F., & Zhang, Y. (2013). Selective inhibition of alpha/beta-hydrolase domain 6 attenuates neurodegeneration, alleviates blood brain barrier breakdown, and improves functional recovery in a mouse model of traumatic brain injury. Journal of Neurotrauma, 30(7), 565579. https://doi.org/10.1089/neu.2012.2647CrossRefGoogle Scholar
Thomas, A., Stevenson, L. A., Wease, K. N., Price, M. R., Baillie, G., Ross, R. A., & Pertwee, R. G. (2005). Evidence that the plant cannabinoid delta9-tetrahydrocannabivarin is a cannabinoid CB1 and CB2 receptor antagonist. British Journal of Pharmacology, 146(7), 917926. https://doi.org/10.1038/sj.bjp.0706414CrossRefGoogle ScholarPubMed
Trexler, K. R., Eckard, M. L., & Kinsey, S. G. (2019). CB1 positive allosteric modulation attenuates Δ9-THC withdrawal and NSAID-induced gastric inflammation. Pharmacology, Biochemistry, and Behavior, 177, 2733. https://doi.org/10.1016/j.pbb.2018.12.009CrossRefGoogle Scholar
Trezza, V., Damsteegt, R., Manduca, A., Petrosino, S., Kerkhof, L. W. M. V., Pasterkamp, R. J., … Vanderschuren, L. J. M. J. (2012). Endocannabinoids in amygdala and nucleus accumbens mediate social play reward in adolescent rats. The Journal of Neuroscience, 32(43), 1489914908. https://doi.org/10.1523/JNEUROSCI.0114-12.2012CrossRefGoogle ScholarPubMed
Trezza, V., & Vanderschuren, L. J. M. J. (2008). Bidirectional cannabinoid modulation of social behavior in adolescent rats. Psychopharmacology, 197(2), 217227. https://doi.org/10.1007/s00213-007-1025-3CrossRefGoogle ScholarPubMed
Tsou, K., Brown, S., Sañudo-Peña, M. C., Mackie, K., & Walker, J. M. (1998). Immunohistochemical distribution of cannabinoid CB1 receptors in the rat central nervous system. Neuroscience, 83(2), 393411. https://doi.org/10.1016/s0306-4522(97)00436-3CrossRefGoogle ScholarPubMed
Turu, G., & Hunyady, L. (2010). Signal transduction of the CB1 cannabinoid receptor. Journal of Molecular Endocrinology, 44(2), 7585. https://doi.org/10.1677/JME-08-0190CrossRefGoogle ScholarPubMed
Vallée, M., Vitiello, S., Bellocchio, L., Hébert-Chatelain, E., Monlezun, S., Martin-Garcia, E., … Piazza, P. V. (2014). Pregnenolone can protect the brain from cannabis intoxication. Science (New York, N.Y.), 343(6166), 9498. https://doi.org/10.1126/science.1243985CrossRefGoogle ScholarPubMed
van der Stelt, M., & Di Marzo, V. (2003). The endocannabinoid system in the basal ganglia and in the mesolimbic reward system: Implications for neurological and psychiatric disorders. European Journal of Pharmacology, 480(1–3), 133150. https://doi.org/10.1016/j.ejphar.2003.08.101CrossRefGoogle ScholarPubMed
Viader, A., Blankman, J. L., Zhong, P., Liu, X., Schlosburg, J. E., Joslyn, C. M., … Cravatt, B. F. (2015). Metabolic interplay between astrocytes and neurons regulates endocannabinoid action. Cell Reports, 12(5), 798808. https://doi.org/10.1016/j.celrep.2015.06.075CrossRefGoogle ScholarPubMed
Wei, D., Dinh, D., Lee, D., Li, D., Anguren, A., Moreno-Sanz, G., … Piomelli, D. (2016). Enhancement of anandamide-mediated endocannabinoid signaling corrects autism-related social impairment. Cannabis and Cannabinoid Research, 1(1), 8189. Retrieved from http://online.liebertpub.com/doi/abs/10.1089/can.2015.0008CrossRefGoogle ScholarPubMed
Wiley, J. L., Barrus, D. G., Farquhar, C. E., Lefever, T. W., & Gamage, T. F. (2021). Sex, species and age: Effects of rodent demographics on the pharmacology of Δ9-tetrahydrocanabinol. Progress in Neuro-Psychopharmacology & Biological Psychiatry, 106, 110064. https://doi.org/10.1016/j.pnpbp.2020.110064CrossRefGoogle Scholar
Yasmin, F., Colangeli, R., Morena, M., Filipski, S., van der Stelt, M., Pittman, Q. J., … Chattarji, S. (2020). Stress-induced modulation of endocannabinoid signaling leads to delayed strengthening of synaptic connectivity in the amygdala. Proceedings of the National Academy of Sciences of the United States of America, 117(1), 650655. https://doi.org/10.1073/pnas.1910322116CrossRefGoogle ScholarPubMed
Zabik, N. L., Iadipaolo, A. S., Marusak, H. A., Peters, C., Burghardt, K., & Rabinak, C. A. (2022). A common genetic variant in fatty acid amide hydrolase is linked to alterations in fear extinction neural circuitry in a racially diverse, nonclinical sample of adults. Journal of Neuroscience Research, 100(3), 744761. https://doi.org/10.1002/jnr.24860CrossRefGoogle Scholar
Zamberletti, E., Gabaglio, M., & Parolaro, D. (2017). The endocannabinoid system and autism spectrum disorders: Insights from animal models. International Journal of Molecular Sciences, 18(9), 1916. https://doi.org/10.3390/ijms18091916.CrossRefGoogle ScholarPubMed
Zhong, P., Pan, B., Gao, X., Blankman, J. L., Cravatt, B. F., & Liu, Q. (2011). Genetic deletion of monoacylglycerol lipase alters endocannabinoid-mediated retrograde synaptic depression in the cerebellum. The Journal of Physiology, 589(Pt 20), 48474855. https://doi.org/10.1113/jphysiol.2011.215509CrossRefGoogle ScholarPubMed
Zou, M., Liu, Y., Xie, S., Wang, L., Li, D., Li, L., … Wu, L. (2021). Alterations of the endocannabinoid system and its therapeutic potential in autism spectrum disorder. Open Biology, 11(2), 200306. https://doi.org/10.1098/rsob.200306CrossRefGoogle ScholarPubMed
Figure 0

Figure 1. Pharmacotherapeutic targets of the endocannabinoid system. A schematic showing potential therapeutic targets of the endocannabinoid system in the central nervous system displayed in their pre- and postsynapse localization in neurons (this is not to say that central mechanisms of action could also occurs through nonneuronal cell types). Compounds include: CB1R orthosteric targets (including agonists and antognists), CB1R modulators (signaling specific inhibitors, PAMs and NAMs), FAAH inhibitors, MAGL inhibitors, FABP inhibitors and membrane transporter inhibitors. CB1R-cannabinoid receptor type 1; PAM-positive allosteric modulator; NAMnegative allosteric modulator; FAAH-fatty acid amide hydrolase; MAGL-monoacylglycerol lipase; FABP-fatty acid binding protein. Created in Biorender.