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Changes in cocaine consumption are associated with fluctuations in self-reported impulsivity and gambling decision-making

Published online by Cambridge University Press:  17 June 2015

L. M. Hulka ,
M. Vonmoos ,
K. H. Preller ,
M. R. Baumgartner ,
E. Seifritz ,
A. Gamma  and
B. B. Quednow
L. M. Hulka*
Affiliation:
Experimental and Clinical Pharmacopsychology, Department of Psychiatry, Psychotherapy, and Psychosomatics, Psychiatric Hospital, University of Zurich, Switzerland
M. Vonmoos*
Affiliation:
Experimental and Clinical Pharmacopsychology, Department of Psychiatry, Psychotherapy, and Psychosomatics, Psychiatric Hospital, University of Zurich, Switzerland
K. H. Preller
Affiliation:
Experimental and Clinical Pharmacopsychology, Department of Psychiatry, Psychotherapy, and Psychosomatics, Psychiatric Hospital, University of Zurich, Switzerland
M. R. Baumgartner
Affiliation:
Center of Forensic Hairanalytics, Institute of Forensic Medicine, University of Zurich, Switzerland
E. Seifritz
Affiliation:
Director of the Department of Psychiatry, Psychotherapy, and Psychosomatics, Psychiatric Hospital, University of Zurich, Switzerland Neuroscience Center Zurich, University of Zurich, and Swiss Federal Institute of Technology Zurich, Switzerland
A. Gamma
Affiliation:
Division of ADHD Research, Department of Psychiatry, Psychotherapy, and Psychosomatics, Psychiatric Hospital, University of Zurich, Switzerland
B. B. Quednow
Affiliation:
Experimental and Clinical Pharmacopsychology, Department of Psychiatry, Psychotherapy, and Psychosomatics, Psychiatric Hospital, University of Zurich, Switzerland Neuroscience Center Zurich, University of Zurich, and Swiss Federal Institute of Technology Zurich, Switzerland
*
*Address for correspondence: L. M. Hulka, PhD, Experimental and Clinical Pharmacopsychology, Psychiatric Hospital of the University of Zurich, Lenggstrasse 31, CH-8032 Zurich, Switzerland. (Email: [email protected]) [L.M.H.] (Email: [email protected]) [M.V.]
*Address for correspondence: L. M. Hulka, PhD, Experimental and Clinical Pharmacopsychology, Psychiatric Hospital of the University of Zurich, Lenggstrasse 31, CH-8032 Zurich, Switzerland. (Email: [email protected]) [L.M.H.] (Email: [email protected]) [M.V.]
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Abstract

Background.

In cross-sectional studies, cocaine users generally display elevated levels of self-reported and cognitive impulsivity. To what extent these impairments are stable v. variable markers of cocaine use disorder, and, thus, are pre-existing or drug-induced, has not yet been systematically investigated.

Method.

We conducted a longitudinal study with cocaine users who changed or maintained their consumption intensity, measuring self-reported impulsivity with the Barratt Impulsiveness Scale (BIS-11), and cognitive impulsivity with the Rapid Visual Processing task (RVP), Iowa Gambling task (IGT), and Delay Discounting task (DD) at baseline and at 1-year follow-up. We assessed 48 psychostimulant-naive controls and 19 cocaine users with decreased, 19 users with increased, and 19 users with unchanged cocaine intake after 1 year as confirmed by hair analysis.

Results.

Results of linear multilevel modelling showed significant group × time interactions for the BIS-11 total score and the IGT total card ratio. Increasers showed a trend for elevated scores, whereas decreasers exhibited reduced self-reported impulsivity scores within 1 year. Surprisingly, increasers’ IGT performance was improved after 1 year, whereas decreasers’ performance deteriorated. By contrast, neither RVP response bias B″ nor DD total score showed substantial group × time interactions. Importantly, BIS-11 and DD revealed strong test–retest reliabilities.

Conclusion.

Self-reported impulsivity (BIS-11) and decision-making impulsivity (IGT) covary with changing cocaine use, whereas response bias and delay discounting remain largely unaffected. Thus, self-reported impulsivity and gambling decision-making were strongly state-dependent in a stimulant-using population and may be suitable to monitor treatment success, whereas delay of gratification was confirmed as a potential endophenotype of stimulant addiction.

Keywords

Addictiondrug dependenceimpulse controlintertemporal choiceplanningstimulantstemporal discounting
Type
Original Articles
Information
Psychological Medicine , Volume 45 , Issue 14 , October 2015 , pp. 3097 - 3110
Copyright
Copyright © Cambridge University Press 2015 

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References

Aharonovich, E, Hasin, DS, Brooks, AC, Liu, X, Bisaga, A, Nunes, EV (2006). Cognitive deficits predict low treatment retention in cocaine dependent patients. Drug and Alcohol Dependence 81, 313–322.CrossRefGoogle ScholarPubMed
APA (1994). American Psychological Association. Diagnostic and statistical manual of mental disorders: DSM-IV. American Psychiatric Association (APA): Washington, DC.Google Scholar
Bechara, A (2003). Risky business: emotion, decision-making, and addiction. Journal of Gambling Studies 19, 23–51.CrossRefGoogle ScholarPubMed
Bechara, A, Dolan, S, Hindes, A (2002). Decision-making and addiction (part II): myopia for the future or hypersensitivity to reward? Neuropsychologia 40, 1690–1705.CrossRefGoogle ScholarPubMed
Beck, AT, Ward, CH, Mendelson, M, Mock, J, Erbaugh, J (1961). An inventory for measuring depression. Archives of General Psychiatry 4, 561–571.CrossRefGoogle ScholarPubMed
Bush, DM (2008). The U.S. mandatory guidelines for federal workplace drug testing programs: current status and future considerations. Forensic Science International 174, 111–119.Google ScholarPubMed
Colzato, LS, van den Wildenberg, WP, Hommel, B (2007). Impaired inhibitory control in recreational cocaine users. PLoS ONE 2, e1143.CrossRefGoogle ScholarPubMed
Cooper, GA, Kronstrand, R, Kintz, P, Society of Hair T (2012). Society of hair testing guidelines for drug testing in hair. Forensic Science International 218, 20–24.CrossRefGoogle ScholarPubMed
Cunha, PJ, Bechara, A, de Andrade, AG, Nicastri, S (2011). Decision-making deficits linked to real-life social dysfunction in crack cocaine-dependent individuals. American Journal on Addictions 20, 78–86.CrossRefGoogle ScholarPubMed
Dakwar, E, Levin, FR (2013). Individual mindfulness-based psychotherapy for cannabis or cocaine dependence: a pilot feasibility trial. American Journal of Addiction 22, 521–526.CrossRefGoogle ScholarPubMed
Elliott, R, Sahakian, BJ, McKay, AP, Herrod, JJ, Robbins, TW, Paykel, ES (1996). Neuropsychological impairments in unipolar depression: the influence of perceived failure on subsequent performance. Psychological Medicine 26, 975–989.CrossRefGoogle ScholarPubMed
EMCDDA (2014). European Monitoring Centre for Drugs and Drug Addiction. European Drug Report 2014. Trends and Developments. p. 88. Publications Office of the European Union: Luxembourg.Google Scholar
Ersche, KD, Barnes, A, Jones, PS, Morein-Zamir, S, Robbins, TW, Bullmore, ET (2011). Abnormal structure of frontostriatal brain systems is associated with aspects of impulsivity and compulsivity in cocaine dependence. Brain 134, 2013–2024.CrossRefGoogle ScholarPubMed
Ersche, KD, Jones, PS, Williams, GB, Smith, DG, Bullmore, ET, Robbins, TW (2013). Distinctive personality traits and neural correlates associated with stimulant drug use versus familial risk of stimulant dependence. Biological Psychiatry 74, 137–144.CrossRefGoogle ScholarPubMed
Ersche, KD, Turton, AJ, Chamberlain, SR, Muller, U, Bullmore, ET, Robbins, TW (2012). Cognitive dysfunction and anxious-impulsive personality traits are endophenotypes for drug dependence. American Journal of Psychiatry 169, 926–936.CrossRefGoogle ScholarPubMed
Ersche, KD, Turton, AJ, Pradhan, S, Bullmore, ET, Robbins, TW (2010). Drug addiction endophenotypes: impulsive versus sensation-seeking personality traits. Biological Psychiatry 68, 770–773.CrossRefGoogle ScholarPubMed
Fellows, LK (2004). The cognitive neuroscience of human decision making: a review and conceptual framework. Behavioral and Cognitive Neuroscience Reviews 3, 159–172.CrossRefGoogle ScholarPubMed
Field, M, Schoenmakers, T, Wiers, RW (2008). Cognitive processes in alcohol binges: a review and research agenda. Current Drug Abuse Reviews 1, 263–279.CrossRefGoogle ScholarPubMed
Franken, IH (2003). Drug craving and addiction: integrating psychological and neuropsychopharmacological approaches. Progress in Neuro-Psychopharmacology and Biological Psychiatry 27, 563–579.CrossRefGoogle ScholarPubMed
Gelman, A, Hill, J (2007). Data Analysis Using Regression and Multilevel/Hierarchical Models. Cambridge University Press: New York.Google Scholar
Goldstein, RZ, Volkow, ND (2011). Dysfunction of the prefrontal cortex in addiction: neuroimaging findings and clinical implications. Nature Reviews Neuroscience 12, 652–669.CrossRefGoogle ScholarPubMed
Green, DM, Swets, JA (1966). Signal Detection Theory and Psychophysics. Wiley: New York.Google Scholar
Heatherton, TF, Kozlowski, LT, Frecker, RC, Fagerstrom, KO (1991). the fagerstrom test for nicotine dependence: a revision of the fagerstrom tolerance questionnaire. British Journal of Addiction 86, 1119–1127.CrossRefGoogle ScholarPubMed
Hoelzle, C, Scheufler, F, Uhl, M, Sachs, H, Thieme, D (2008). Application of discriminant analysis to differentiate between incorporation of cocaine and its congeners into hair and contamination. Forensic Science International 176, 13–18.CrossRefGoogle ScholarPubMed
Hulka, LM, Eisenegger, C, Preller, KH, Vonmoos, M, Jenni, D, Bendrick, K, Baumgartner, MR, Seifritz, E, Quednow, BB (2014). Altered social and non-social decision-making in recreational and dependent cocaine users. Psychological Medicine 44, 1015–1028.CrossRefGoogle ScholarPubMed
Kendler, KS, Myers, J, Prescott, CA (2007). Specificity of genetic and environmental risk factors for symptoms of cannabis, cocaine, alcohol, caffeine, and nicotine dependence. Archives of General Psychiatry 64, 1313–1320.CrossRefGoogle ScholarPubMed
Kirby, KN, Petry, NM, Bickel, WK (1999). Heroin addicts have higher discount rates for delayed rewards than non-drug-using controls. Journal of Experimental Psychology. General 128, 78–87.CrossRefGoogle ScholarPubMed
Kjome, KL, Lane, SD, Schmitz, JM, Green, C, Ma, L, Prasla, I, Swann, AC, Moeller, FG (2010). Relationship between impulsivity and decision making in cocaine dependence. Psychiatry Research 178, 299–304.CrossRefGoogle ScholarPubMed
Kreek, MJ, Nielsen, DA, Butelman, ER, LaForge, KS (2005). Genetic influences on impulsivity, risk taking, stress responsivity and vulnerability to drug abuse and addiction. Nature Neuroscience 8, 1450–1457.CrossRefGoogle ScholarPubMed
Lehrl, S (1999). Mehrfachwahl-Wortschatz-Intelligenztest (MWT-B), 4th edn. Spitta: Balingen.Google Scholar
Littlefield, AK, Sher, KJ, Wood, PK (2009). Is ‘maturing out’ of problematic alcohol involvement related to personality change? Journal of Abnormal Psychology 118, 360–374.CrossRefGoogle ScholarPubMed
Locascio, JJ, Atri, A (2011). An overview of longitudinal data analysis methods for neurological research. Dementia and Geriatric Cognitive Disorders Extra 1, 330–357.CrossRefGoogle ScholarPubMed
Lucantonio, F, Stalnaker, TA, Shaham, Y, Niv, Y, Schoenbaum, G (2012). The impact of orbitofrontal dysfunction on cocaine addiction. Nature Neuroscience 15, 358–366.CrossRefGoogle ScholarPubMed
MacKillop, J (2013). Integrating behavioral economics and behavioral genetics: delayed reward discounting as an endophenotype for addictive disorders. Journal of the Experimental Analysis of Behavior 99, 14–31.CrossRefGoogle ScholarPubMed
Mahoney, MK, Olmstead, MC (2013). Neurobiology of an endophenotype: modeling the progression of alcohol addiction in rodents. Current Opinion in Neurobiology 23, 607–614.CrossRefGoogle ScholarPubMed
Marhe, R, Waters, AJ, van de Wetering, BM, Franken, IHA (2013). Implicit and explicit drug-related cognitions during detoxification treatment are associated with drug relapse: an ecological momentary assessment study. Journal of Consulting and Clinical Psychology 81, 1–12.CrossRefGoogle ScholarPubMed
Mischel, W, Ayduk, O, Berman, MG, Casey, BJ, Gotlib, IH, Jonides, J, Kross, E, Teslovich, T, Wilson, NL, Zayas, V, Shoda, Y (2011). ‘Willpower’ over the life span: decomposing self-regulation. Social Cognitive and Affective Neuroscience 6, 252–256.CrossRefGoogle ScholarPubMed
Moeller, FG, Barratt, ES, Dougherty, DM, Schmitz, JM, Swann, AC (2001a). Psychiatric aspects of impulsivity. American Journal of Psychiatry 158, 1783–1793.CrossRefGoogle ScholarPubMed
Moeller, FG, Dougherty, DM, Barratt, ES, Schmitz, JM, Swann, AC, Grabowski, J (2001b). The impact of impulsivity on cocaine use and retention in treatment. Journal of Substance Abuse and Treatment 21, 193–198.CrossRefGoogle ScholarPubMed
NSDUH (2014). National survey of drug use and health. trends in prevalence of various drugs for ages 12 or older, ages 12 to 17, ages 18 to 25, and ages 26 or older. http://www.drugabuse.gov/national-survey-drug-use-health. Accessed 13 October 2014.Google Scholar
Nutt, D, King, LA, Saulsbury, W, Blakemore, C (2007). Development of a rational scale to assess the harm of drugs of potential misuse. Lancet 369, 1047–1053.CrossRefGoogle ScholarPubMed
Odum, AL (2011 a). Delay discounting: I'm a k, you're a k. Journal of the Experimental Analysis of Behavior 96, 427–439.CrossRefGoogle Scholar
Odum, AL (2011 b). Delay discounting: trait variable? Behavioural Processes 87, 1–9.CrossRefGoogle ScholarPubMed
Patkar, AA, Murray, HW, Mannelli, P, Gottheil, E, Weinstein, SP, Vergare, MJ (2004). Pre-treatment measures of impulsivity, aggression and sensation seeking are associated with treatment outcome for African-American cocaine-dependent patients. Journal of Addictive Diseases 23, 109–122.CrossRefGoogle ScholarPubMed
Patton, JH, Stanford, MS, Barratt, ES (1995). Factor structure of the Barratt impulsiveness scale. Journal of Clinical Psychology 51, 768–774.3.0.CO;2-1>CrossRefGoogle ScholarPubMed
Perry, JL, Carroll, ME (2008). The role of impulsive behavior in drug abuse. Psychopharmacology 200, 1–26.CrossRefGoogle ScholarPubMed
Preller, KH, Hulka, LM, Vonmoos, M, Jenni, D, Baumgartner, MR, Seifritz, E, Dziobek, I, Quednow, BB (2014). Impaired emotional empathy and related social network deficits in cocaine users. Addiction Biology 19, 452–466.CrossRefGoogle ScholarPubMed
Quednow, BB, Kuhn, KU, Hoenig, K, Maier, W, Wagner, M (2004). Prepulse inhibition and habituation of acoustic startle response in male MDMA (‘ecstasy’) users, cannabis users, and healthy controls. Neuropsychopharmacology 29, 982–990.CrossRefGoogle ScholarPubMed
Quednow, BB, Kuhn, KU, Hoppe, C, Westheide, J, Maier, W, Daum, I, Wagner, M (2007). Elevated impulsivity and impaired decision-making cognition in heavy users of MDMA (‘Ecstasy’). Psychopharmacology 189, 517–530.CrossRefGoogle ScholarPubMed
Reske, M, Delis, DC, Paulus, MP (2011). Evidence for subtle verbal fluency deficits in occasional stimulant users: quick to play loose with verbal rules. Journal of Psychiatric Research 45, 361–368.CrossRefGoogle ScholarPubMed
Roesler, M, Retz, W, Retz-Junginger, P, Thome, J, Supprian, T, Nissen, T, Stieglitz, R-D, Blocher, D, Hengesch, G, Trott, GE (2004). Tools for the diagnosis of attention-deficit/hyperactivity disorder in adults. Self-rating behaviour questionnaire and diagnostic checklist. Nervenarzt 75, 888–895.Google Scholar
StataCorp. (2011). Stata Statistical Software: Release 12. StataCorp LP: Texas.Google Scholar
Stevens, L, Verdejo-Garcia, A, Goudriann, AE, Royers, H, Dom, G, Vanderplasschen, W (2014). Impulsivity as a vulnerability factor for poor addiction treatment outcomes: a review of neurocognitive findings among individuals with substance use disorders. Journal of Substance Abuse Treatment 47, 58–72.CrossRefGoogle ScholarPubMed
Substance Abuse and Mental Health Services Administration (2008). Mandatory guidelines for federal workplace drug testing programs. Federal Register 73, 71858–71907.Google Scholar
Sussner, BD, Smelson, DA, Rodrigues, S, Kline, A, Losonczy, M, Ziedonis, D (2006). The validity and reliability of a brief measure of cocaine craving. Drug and Alcohol Dependence 83, 233–237.CrossRefGoogle ScholarPubMed
Swendsen, JD, Merikangas, KR (2000). The comorbidity of depression and substance use disorders. Clinical Psychology Review 20, 173–189.CrossRefGoogle ScholarPubMed
Tabachnik, B, Fidell, L (2006). Using Multivariate Statistics. Pearson Education: Boston.Google Scholar
UNODC (2014). United Nations Office on Drugs and Crime. World Drug Report 2014. p. 128. United Nations Publication: Vienna.Google Scholar
Vadhan, NP, Hart, CL, Haney, M, van Gorp, WG, Foltin, RW (2009). Decision-making in long-term cocaine users: Effects of a cash monetary contingency on Gambling task performance. Drug and Alcohol Dependence 102, 95–101.CrossRefGoogle Scholar
van Emmerik-van Oortmerssen, K, van de Glind, G, van den Brink, W, Smit, F, Crunelle, CL, Swets, M, Schoevers, RA (2012). Prevalence of attention-deficit hyperactivity disorder in substance use disorder patients: a meta-analysis and meta-regression analysis. Drug and Alcohol Dependence 122, 11–19.CrossRefGoogle ScholarPubMed
Verdejo-Garcia, A, Albein-Urios, N, Martinez-Gonzalez, JM, Civit, E, de la Torre, R, Lozano, O (2014). Decision-making impairment predicts 3-month hair-indexed cocaine relapse. Psychopharmacology 231, 4179–4187.CrossRefGoogle ScholarPubMed
Verdejo-Garcia, A, Benbrook, A, Funderburk, F, David, P, Cadet, JL, Bolla, KI (2007). The differential relationship between cocaine use and marijuana use on decision-making performance over repeat testing with the Iowa Gambling Task. Drug and Alcohol Dependence 90, 2–11.CrossRefGoogle ScholarPubMed
Verdejo-Garcia, A, Lawrence, AJ, Clark, L (2008). Impulsivity as a vulnerability marker for substance-use disorders: review of findings from high-risk research, problem gamblers and genetic association studies. Neuroscience and Biobehavioral Reviews 32, 777–810.CrossRefGoogle ScholarPubMed
Vonmoos, M, Hulka, LM, Preller, KH, Jenni, D, Baumgartner, MR, Stohler, R, Bolla, KI, Quednow, BB (2013 a). Cognitive dysfunctions in recreational and dependent cocaine users: role of attention-deficit hyperactivity disorder, craving and early age at onset. British Journal of Psychiatry 203, 35–43.CrossRefGoogle ScholarPubMed
Vonmoos, M, Hulka, LM, Preller, KH, Jenni, D, Schulz, C, Baumgartner, MR, Quednow, BB (2013 b). Differences in self-reported and behavioral measures of impulsivity in recreational and dependent cocaine users. Drug and Alcohol Dependence 133, 61–70.CrossRefGoogle ScholarPubMed
Vonmoos, M, Hulka, LM, Preller, KH, Minder, F, Baumgartner, MR, Quednow, BB (2014). Cognitive Impairment in Cocaine Users is Drug-Induced but Partially Reversible: Evidence from a Longitudinal Study. Neuropsychopharmacology 39, 2200–2210.CrossRefGoogle ScholarPubMed
Wagner, FA, Anthony, JC (2002). From first drug use to drug dependence; developmental periods of risk for dependence upon marijuana, cocaine, and alcohol. Neuropsychopharmacology 26, 479–488.CrossRefGoogle ScholarPubMed
Washio, Y, Higgins, ST, Heil, SH, McKerchar, TL, Badger, GJ, Skelly, JM, Dantona, RL (2011). Delay discounting is associated with treatment response among cocaine-dependent outpatients. Experimental and Clinical Psychopharmacology 19, 243–248.CrossRefGoogle ScholarPubMed
Wiers, RW, Stacy, AW (2006). Implicit cognition and addiction. Current Directions in Psychological Science 15, 292–296.CrossRefGoogle Scholar
Wilson, JJ (2007). ADHD and substance use disorders: developmental aspects and the impact of stimulant treatment. American Journal on Addictions 16 (Suppl. 1), 5–11.CrossRefGoogle ScholarPubMed
Winstanley, CA, Olausson, P, Taylor, JR, Jentsch, JD (2010). Insight into the relationship between impulsivity and substance abuse from studies using animal models. Alcoholism, Clinical and Experimental Research 34, 1306–1318.CrossRefGoogle ScholarPubMed
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