Previous studies investigating the effectiveness of augmentation therapy have been limited.

To evaluate the effectiveness of antipsychotic augmentation therapies among patients with treatment-resistant depression.

We included patients diagnosed with depression receiving two antidepressant courses within 1 year between 2009 and 2020 and used the clone-censor-weight approach to address time-lag bias. Participants were assigned to either an antipsychotic or a third-line antidepressant. Primary outcomes were suicide attempt and suicide death. Cardiovascular death and all-cause mortality were considered as safety outcomes. Weighted pooled logistic regression and non-parametric bootstrapping were used to estimate approximate hazard ratios and 95% confidence intervals.

The cohort included 39 949 patients receiving antipsychotics and the same number of matched antidepressant patients. The mean age was 51.2 (standard deviation 16.0) years, and 37.3% of participants were male. Compared with patients who received third-line antidepressants, those receiving antipsychotics had reduced risk of suicide attempt (sub-distribution hazard ratio 0.77; 95% CI 0.72–0.83) but not suicide death (adjusted hazard ratio 1.08; 95% CI 0.93–1.27). After applying the clone-censor-weight approach, there was no association between antipsychotic augmentation and reduced risk of suicide attempt (hazard ratio 1.06; 95% CI 0.89–1.29) or suicide death (hazard ratio 1.22; 95% CI 0.91–1.71). However, antipsychotic users had increased risk of all-cause mortality (hazard ratio 1.21; 95% CI 1.07–1.33).

Antipsychotic augmentation was not associated with reduced risk of suicide-related outcomes when time-lag bias was addressed; however, it was associated with increased all-cause mortality. These findings do not support the use of antipsychotic augmentation in patients with treatment-resistant depression.

Antidepressants are effective for depression, but most evidence excludes individuals with comorbid physical conditions.

To assess antidepressants’ efficacy and tolerability in individuals with depression and comorbid physical conditions.

Systematic review and network meta-analysis of randomised controlled trials (RCTs). Co-primary outcomes were efficacy on depressive symptoms and tolerability (participants dropping out because of adverse events). Bias was assessed with the Cochrane Risk-of-Bias 2 tool and certainty of estimates with the Confidence in Network Meta-Analysis approach. A study protocol was registered in advance (https://osf.io/9cjhe/).

Of the 115 included RCTs, 104 contributed to efficacy (7714 participants) and 82 to tolerability (6083 participants). The mean age was 55.7 years and 51.9% of participants were female. Neurological and cardiocirculatory conditions were the most represented (26.1% and 18.3% of RCTs, respectively). The following antidepressants were more effective than placebo: imipramine, nortriptyline, amitriptyline, desipramine, sertraline, paroxetine, citalopram, fluoxetine, escitalopram, mianserin, mirtazapine and agomelatine, with standardised mean differences ranging from −1.01 (imipramine) to −0.34 (escitalopram). Sertraline and paroxetine were effective for the largest number of ICD-11 disease subgroups (four out of seven). In terms of tolerability, sertraline, imipramine and nortriptyline were less tolerated than placebo, with relative risks ranging from 1.47 (sertraline) to 3.41 (nortriptyline). For both outcomes, certainty of evidence was ‘low’ or ‘very low’ for most comparisons.

Antidepressants are effective in individuals with comorbid physical conditions, although tolerability is a relevant concern. Selective serotonin reuptake inhibitors (SSRIs) have the best benefit–risk profile, making them suitable as first-line treatments, while tricyclics are highly effective but less tolerated than SSRIs and placebo.

Selective serotonin reuptake inhibitors (SSRIs) have been associated with increased risk of osteoporosis, and sertraline may be more potent than citalopram in this regard. Here, target trial emulation was used to investigate whether sertraline, citalopram and escitalopram (the S-enantiomer of citalopram) differentially affect the risk of osteoporosis. Subsequently, it was examined whether SSRIs increase the risk of osteoporosis in a dose-response-like manner.

Danish nationwide registers were used to identify all individuals that initiated treatment for depression with sertraline, citalopram, or escitalopram between January 1, 2007, and March 1, 2019. These individuals were followed until development of osteoporosis, death, or end of follow-up. Cox proportional hazards regression was used to adjust for relevant baseline covariates to emulate randomised treatment allocation to compare the rate of osteoporosis for individuals treated with sertraline, citalopram or escitalopram. Subsequently, the cumulative dose of sertraline, citalopram, and escitalopram was calculated, and Cox proportional hazards regression was used to assess dose-response-like relationships with osteoporosis.

We identified 27,280, 65,529, and 17,703 individuals initiating treatment with sertraline, citalopram, and escitalopram, respectively. There was no material or statistically significant differential risk of osteoporosis between these groups (adjusted hazard rate ratio, aHRR = 0.98 for citalopram versus sertraline and aHRR = 0.94 for escitalopram versus sertraline). The results were not indicative of the SSRIs having a dose-response-like effect on osteoporosis risk.

Sertraline, citalopram and escitalopram do not appear to differentially affect the risk of osteoporosis. The lack of clear dose-response-like relationships suggest that they do not have a causal effect on osteoporosis risk.

Antidepressants are essential in managing depression, including treatment-resistant cases. Public perceptions of these medications, shaped by social media platforms like X (formerly Twitter), can influence treatment adherence and outcomes. This study explores public attitudes toward antidepressants through sentiment and topic modeling analysis of tweets in English and Spanish from 2007 to 2022.

Tweets mentioning antidepressants approved for depression were collected. The analysis focused on selective serotonin reuptake inhibitors (SSRIs) and glutamatergic drugs. Sentiment analysis and topic modeling were conducted to identify trends, concerns, and emotions in discussions across both languages.

A total of 1,448,674 tweets were analyzed (1,013,128 in English and 435,546 in Spanish). SSRIs were the most mentioned antidepressants (27.9% in English, 58.91% in Spanish). Pricing and availability were key concerns in English tweets, while Spanish tweets highlighted availability, efficacy, and sexual side effects. Glutamatergic drugs, especially esketamine, gained attention (15.61% in English, 25.23% in Spanish), evoking emotions such as fear, sadness, and anger. Temporal analysis showed significant increases in discussions, with peaks in 2012 and 2021 for SSRIs in Spanish, and exponential growth from 2018 to 2021 for glutamatergic drugs. Emotional tones varied across languages, reflecting cultural differences.

Social media platforms like X provide valuable insights into public perceptions of antidepressants, highlighting cultural variations in attitudes. Understanding these perceptions can help clinicians address concerns and misconceptions, fostering informed treatment decisions. The limitations of social media data call for careful interpretation, emphasizing the need for continued research to improve pharmacovigilance and public health strategies.

Despite uncertain benefits, antidepressants are used in the management of personality disorders (PDs). We investigated the association between antidepressants and two adverse outcomes - suicidal behaviour and violent crimes - in individuals with PDs.

We used nationwide Danish healthcare registries to identify all individuals with a diagnosed PD aged 18–64 years from 2007 to 2016. Antidepressant use was identified using dispensed prescriptions. Individuals were followed up for healthcare presentations of suicidal behaviour and separately for police-recorded charges of violent crimes. We applied a within-individual design comparing rates of suicidal behaviour and violent crimes during time periods of antidepressant treatment with periods without treatment. Subgroup analyses were performed according to PD clusters, individual antidepressants, specific PDs, psychiatric comorbidities, and history of suicidal behaviour and violent crime.

The cohort included 167,319 individuals with a diagnosed PD, 19,519 (12%) of whom were prescribed antidepressants and presented at least one outcome event during follow-up, making them eligible for within-individual analyses. Overall, we found an association with lower rates of suicidal behavior during periods of antidepressant treatment, compared with periods when individuals were not on antidepressants (incidence rate ratio 0.86, 95% CI 0.84–0.89). However, this association was modified by specific PDs, individual antidepressants, comorbidities, and past history. For violent crimes, we did not observe consistent associations in any direction.

Antidepressants were associated with lower rates of suicidal behaviour, but less clearly in violent crimes. Types of PDs, individual antidepressants, and comorbidities modified these associations.

Treatment-resistant depression (TRD) affects 10–30% of patients with major depressive disorder, leading to increased comorbidities, higher mortality, and significant economic and social burdens. This study aimed to compare the efficacy and safety of bupropion and aripiprazole as augmentation therapies for TRD.

This population-based, retrospective cohort study included adults aged ≥18 years with a diagnosis of depressive disorder who met the criteria for TRD. Data were collected from a nationwide claims database in South Korea. Patients prescribed bupropion were matched 1:1 with those prescribed aripiprazole. Subgroup analyses were performed according to age. An as-treated analysis was performed as the primary analysis, and an intention-to-treat analysis was performed to identify different risk windows. The primary outcome was depression-related hospitalization, and the secondary outcomes were first-time diagnoses of movement disorder and seizure.

A total of 5,619 patients (bupropion: n = 1,568; aripiprazole: n = 4,051) were included in this study. Bupropion was associated with lower risks of hospitalization (hazard ratio [HR]: 0.51; 95% confidence interval [CI] 0.29–0.86) and movement disorders (HR: 0.56; 95% CI 0.36–0.85) than aripiprazole. No significant difference in seizure risk (HR: 0.65; 95% CI 0.30–1.31) was observed between the two treatments. The subgroup analysis of participants aged ≥60 years revealed no significant differences in the three outcomes between the two medications.

Bupropion augmentation is associated with a significantly lower risk of depression-related re-hospitalization and movement disorders in patients with TRD. Therefore, bupropion augmentation can be a comprehensive treatment strategy for TRD.

This study evaluated the impact of 2015/2016 prescribing guidance on antidepressant prescribing choices in children.

A retrospective e-cohort study of whole population routine electronic healthcare records was conducted. Poisson regression was undertaken to explore trends over time for depression, antidepressant prescribing, indications and secondary care contacts. Time trend analysis was conducted to assess the impact of guidance.

A total of 643 322 primary care patients in Wales UK, aged 6–17 years from 2010–2019 contributed 3 215 584 person-years of follow-up. Adjusted incidence of depression more than doubled (IRR for 2019 = 2.8 [2.5–3.2]) with similar trends seen for antidepressants. Fluoxetine was the most frequently prescribed first-line antidepressant. Citalopram comprised less than 5% of first prescriptions in younger children but 22.9% (95% CI 22.0–23.8; 95% CI 2533) in 16–17-year-olds. Approximately half of new antidepressant prescribing was associated with depression. Segmented regression analysis showed that prescriptions of ‘all’ antidepressants, Fluoxetine and Sertraline were increasing before the guidance. This upward trend flattened for both ‘all’ antidepressants and Fluoxetine and steepened for Sertraline. Citalopram prescribing was decreasing significantly pre guidance being issued with no significant change afterward.

Targeted intervention is needed to address rising rates of depression in children. Practitioners are partially adhering to local and national guidance. The decision-making process behind prescribing choices is likely to be multi-factorial. Activities to support implementation of guidance should be adopted in relation to safety in prescribing of antidepressants in children including timely availability of talking therapies and specialist mental health services.

The association between heatwave and heat-related outcomes in people with mental health conditions with and without psychotropics was unclear.

We identified people with severe mental illness (SMI) and depression, respectively, using Japanese claim data of Ibaraki prefecture during 1/1/2014–31/12/2021. We conducted self-controlled case series to estimate the incidence rate ratio (IRR) of heat-related illness, myocardial infarction and delirium, respectively, during 5-day pre-heatwave, heatwave, and 5-day post-heatwave periods v. all other periods (baseline) within an individual, stratified by periods prescribed psychotropics and periods not prescribed psychotropics, respectively.

Among people with SMI, heatwave was associated with an increased rate of heat-related illness v. baseline, with no evidence of a difference in the IRRs between those prescribed v. not prescribed antipsychotics (IRR: 1.48 [95% CI 1.40–1.56]; 1.45 [95% CI 1.35–1.56] respectively, p interaction: 0.53). Among people with depression, heatwave was similarly associated with heat-related illness, with no evidence of a difference in the IRRs between those prescribed v. not prescribed antidepressants (IRR: 1.54 [95% CI 1.46–1.64]; 1.64 [95% CI 1.57–1.71] respectively, p interaction: 0.33). Smaller increased rates of heat-related illness were also observed in pre- and post-heatwave periods, v. baseline in both cohorts. There was weak evidence of an increased risk of MI and delirium associated with heatwave v. baseline.

We showed an increased risk of heat-related illness, myocardial infarction and delirium associated with heatwave in people with mental health conditions regardless of whether being prescribed psychotropics. Risks of heat-related illness, myocardial infarction and delirium associated with heatwave might not be factors to influence decisions about the routine use of psychotropics.

The lifetime prevalence of suicide is around 5% in patients with schizophrenia. Non-adherence to antipsychotic medication is an important risk factor, but prospective studies investigating joint effects of antipsychotic drugs, antidepressants, and benzodiazepines on suicidality are scarce. We aimed to investigate how use and non-use of psychotropic medications are associated with suicidality in schizophrenia.

An open cohort study followed all patients consecutively admitted to a psychiatric acute unit during a 10-year period with a diagnosis of schizophrenia (n = 696). Cox multiple regression analyses were conducted with use of antipsychotics, antidepressants, and benzodiazepines as time-dependent variables. Adjustments were made for age, gender, depressive mood, agitated behavior, and use of alcohol and illicit substances.

A total of 32 (4.6%) suicide events were registered during follow-up. Of these, 9 (28%) were completed suicides and 23 (72%) were attempted suicides. A total of 59 (8.5%) patients were readmitted with suicidal plans during the follow-up. Compared to non-use, use of antipsychotics was associated with 70% lower risk of attempted or completed suicide (adjusted hazard ratio [AHR] = 0.30, p < 0.01, CI 0.14–0.65) and 69% reduced risk of readmission with suicidal plans (AHR = 0.31, p < 0.01, CI 0.18–0.55). Use of prescribed benzodiazepines was associated with 126% increased risk of readmission with suicidal plans (AHR = 2.26, p = 0.01, CI 1.24–4.13).

Adherence to antipsychotic medication is strongly associated with reduced suicidal risk in schizophrenia. The use of prescribed benzodiazepines was identified as a significant risk factor for being readmitted with suicidal plans.

Early worsening of plasma lipid levels (EWL; ≥5% change after 1 month) induced by at-risk psychotropic treatments predicts considerable exacerbation of plasma lipid levels and/or dyslipidaemia development in the longer term.

We aimed to determine which clinical and genetic risk factors could predict EWL.

Predictive values of baseline clinical characteristics and dyslipidaemia-associated single nucleotide polymorphisms (SNPs) on EWL were evaluated in a discovery sample (n = 177) and replicated in two samples from the same cohort (PsyMetab; n1 = 176; n2 = 86).

Low baseline levels of total cholesterol, low-density lipoprotein cholesterol (LDL-C) and triglycerides, and high baseline levels of high-density lipoprotein cholesterol (HDL-C), were risk factors for early increase in total cholesterol (P = 0.002), LDL-C (P = 0.02) and triglycerides (P = 0.0006), and early decrease in HDL-C (P = 0.04). Adding genetic parameters (n = 17, 18, 19 and 16 SNPs for total cholesterol, LDL-C, HDL-C and triglycerides, respectively) improved areas under the curve for early worsening of total cholesterol (from 0.66 to 0.91), LDL-C (from 0.62 to 0.87), triglycerides (from 0.73 to 0.92) and HDL-C (from 0.69 to 0.89) (P ≤ 0.00003 in discovery sample). The additive value of genetics to predict early worsening of LDL-C levels was confirmed in two replication samples (P ≤ 0.004). In the combined sample (n ≥ 203), adding genetics improved the prediction of new-onset dyslipidaemia for total cholesterol, LDL-C and HDL-C (P ≤ 0.04).

Clinical and genetic factors contributed to the prediction of EWL and new-onset dyslipidaemia in three samples of patients who started at-risk psychotropic treatments. Future larger studies should be conducted to refine SNP estimates to be integrated into clinically applicable predictive models.

Antidepressants’ effects are established in randomised controlled trials (RCTs), but not in the real world.

To investigate real-world comparative effects of antidepressants for depression and compare them with RCTs.

We performed a cohort study based on the QResearch database. We included people with a newly recorded diagnosis of depression, exposed to licensed antidepressants in the UK. We assessed all-cause dropouts (acceptability), dropouts for adverse events (tolerability), occurrence of at least one adverse event (safety), and response and remission on the Patient Health Questionnaire (PHQ)-9 (effectiveness) at 2 and 12 months. Logistic regressions were used to compute adjusted-odds ratio (aOR) with 99% CIs, assessing the associations between exposure to each antidepressant against fluoxetine (comparator) and outcomes of interest. We compared estimates from the real world with RCTs using ratio-of-odds ratio (ROR) with 95% CI.

A total of 673 177 depressed people were studied: females 57.1%, mean age 42.8 (s.d. 17.7) years, mean baseline PHQ-9 17.1 (s.d. 5.0) (moderately severe depression). At 2 months, antidepressant acceptability was 61.4%, tolerability 94.4%, safety 54.5%, PHQ-9 decreased to 12.3 (s.d. 6.5). At 12 months, acceptability was 12.3%, tolerability 87.5%, safety 28.8%, PHQ-9 12.9 (s.d. 6.8). In the short and long term, tricyclics, mirtazapine and trazodone were worse than fluoxetine for most outcomes; citalopram had better acceptability than fluoxetine (aOR 0.95; 99% CI 0.92, 0.97), sertraline had lower tolerability (aOR 1.12; 99% CI 1.06, 1.18), and both citalopram and sertraline had lower safety (aOR 1.17 and 1.25, respectively). In the long term, citalopram had better acceptability (aOR 0.78; 99% CI 0.76, 0.81) and effectiveness (aOR 1.12 for both response and remission), but worse tolerability (aOR 1.09; 99% CI 1.06, 1.13) and safety (aOR 1.12; 99% CI 1.08, 1.16). Observational and randomised data were similar for citalopram and sertraline, while there was some difference for drugs less prescribed in the real world.

Antidepressants showed low acceptability, moderate-to-high tolerability and safety, and small-to-moderate effectiveness in the real world. Real-world and RCT estimates showed similar findings only when the analyses were carried out using large datasets; otherwise, the results diverged.

To ascertain whether psychotherapies combined with medication are more efficacious than those without medication and determine which combinations yield the best results.

We conducted a network meta-analysis of randomised controlled trials (RCTs) comparing behavioural activation (BA), psychoanalytic/psychodynamic psychotherapy (DYN), interpersonal psychotherapy (IPT), individual face-to-face cognitive behavioural therapy (CBT (ftf)), group cognitive behavioural therapy (gCBT), and computerised or internet cognitive behavioural therapy (iCBT) with each other, or with treatment-as-usual (TAU) and wait list control (WLC) among adults formally diagnosed with depression. The psychotherapy arms were categorised as either psychotherapy alone or psychotherapy combined with medication (+ p). Treatment efficacy was assessed based on depression severity. We used a random-effects model to conduct a pairwise meta-analysis.

A total of 100 RCTs with 9,873 participants were included. The most common treatment was CBT (ftf) alone. All treatment arms were compared with TAU. Most psychotherapies combined with medication were superior to psychotherapy alone. In the subgroup analyses according to the baseline severity of depression, most psychotherapies combined with medication were more effective than psychotherapy alone in moderate-to-severe depression, whereas in mild depression, such differences were not observed. Among psychotherapies with medication, gCBT + p was significantly more effective than TAU and other psychotherapies in both the main and subgroup analyses.

The efficacy of depression treatment varied depending on the severity of the depressive condition. Notably, gCBT + p was identified as the most effective approach for treating adult depression.

Venlafaxine is used to treat depression worldwide. Previous reviews have demonstrated that venlafaxine lowers scores on depression rating scales, producing statistically significant results but the relevance to patients remains uncertain. Knowledge of the incidence of the adverse effects associated with venlafaxine has previously been based on the results of non-randomised studies. Our primary objective was to assess the risks of adverse events with venlafaxine in the treatment of adults with major depressive disorder in randomised trials.

We searched relevant databases and other sources from inception to 7 March 2024 for randomised clinical trials comparing venlafaxine versus placebo or no intervention in adults with major depressive disorder. Data were synthesised using meta-analysis and Trial Sequential Analysis. The primary outcomes were suicides or suicide attempts, serious adverse events and non-serious adverse events.

We included 28 trials randomising 6,253 participants to venlafaxine versus placebo. All results were at high risk of bias, and the certainty of the evidence was very low. All trials assessed outcomes at a maximum of 12 weeks after randomisation. Meta-analysis and Trial Sequential Analysis showed insufficient information to assess the effects of venlafaxine on the risks of suicides or suicide attempts. Meta-analysis showed evidence of harm of venlafaxine versus placebo on serious adverse events (risk ratio: 2.66; 95% confidence interval: 1.67–4.25; p < 0.01; 22 trials), mainly due to a higher risk of sexual dysfunction and anorexia. Meta-analysis showed that venlafaxine also increased the risk of several non-serious adverse events: nausea, dry mouth, dizziness, sweating, somnolence, constipation, nervousness, insomnia, asthenia, tremor and decreased appetite.

Short-term results show that venlafaxine has uncertain effects on the risks of suicides but increases the risks of serious adverse events (especially sexual dysfunction and anorexia) and many non-serious adverse events. The long-term effects of venlafaxine for major depressive disorder are unknown. It is a particular cause for concern that there are no data on the long-term adverse effects of venlafaxine given that so many people use these drugs for several years.