Gorwood, Philip

Summary The American Society of Clinical Psychopharmacology convened a 45-member international expert task force to identify circumstances supporting the deprescribing of core psychotropic medications for major depressive disorder (MDD) and bipolar disorders. Three Delphi survey rounds plus a selective literature review identified points of consensus (predefined as ≥75% agreement) about when antidepressant, antipsychotic, mood stabiliser and sedative-hypnotic deprescribing is warranted. Twenty out of 32 statements (63%) achieved consensus across seven thematic areas. In MDD, panellists favoured discontinuing antidepressants when mechanisms of action are duplicative, adequate trials produce ≤25% improvement or loss of prior efficacy cannot be regained through dose increases or augmentations. Indefinite antidepressant maintenance in MDD was favoured after three or more lifetime episodes. In bipolar disorder, antidepressant deprescribing was favoured in the setting of rapid cycling, mixed features or emerging mania/hypomania symptoms; and discouraged if prior antidepressant cessation led to relapse. In nonpsychotic mood disorders, panellists favoured deprescribing antipsychotics that caused significant weight gain or tardive dyskinesia over adding pharmacological antidotes. Deprescribing to achieve an eventual medication-free status was considered inappropriate, in bipolar type 1, but not necessarily bipolar type 2 disorder. Although individualised circumstances necessarily inform psychopharmacology management, clinical presentations that misalign with existing pharmacotherapies may signal the desirability of cautious deprescribing.

Importance There is a need for greater recognition of clinical psychopharmacology endpoints, including instances where specific psychotropic medications may become unnecessary, redundant, contradictory, or otherwise inappropriate and therefore merit deprescribing. Objective To address circumstances warranting psychotropic medication deprescribing. Evidence Review The American Society of Clinical Psychopharmacology convened a panel of 45 international psychopharmacology experts who developed and completed a multiround Delphi survey and conducted a focused literature review between January and May of 2025, in order to identify areas of consensus or disagreement on key aspects of the deprescribing of psychotropic medications. These included collaborative risk-benefit assessments with patients; pharmacokinetic and pharmacodynamic factors; pharmacogenomics; distinguishing redundant or conflictual from complementary mechanisms of action; managing adverse effects; assuring medication adherence; drug tolerance or tachyphylaxis; medication misuse; and the psychological context and ramifications of deprescribing. Findings Consensus was achieved on 44 of 50 final Delphi statements (88%). Panelists unanimously agreed that components of a pharmacotherapy regimen should undergo periodic review to ensure that treatments target relevant symptoms and have favorable risk-benefit ratios. Key points of consensus were that deprescribing: (1) should not occur without first assessing medication adherence; (2) merits consideration if less than partial therapeutic response is apparent, or if treatment goals have been reached and relapse prevention is not a long-term objective; (3) involves psychological ramifications that warrant attention; (4) should be followed by close clinical monitoring; and (5) risk-benefit decisions should ideally involve active patient participation within a shared decision-making model. Conclusions and Relevance Through this Consensus Statement, the Task Force identified circumstances in which the selective elimination of certain psychotropic medications may be clinically indicated. Empirical trials are needed to assess the implementation of deprescribing protocols and gauge their safe, effective, and acceptable outcomes.

ABSTRACT Suicidality contributes substantially to global morbidity and mortality, yet despite its heritability, its biological etiology remains largely elusive. We conducted multi-ancestry genome-wide association study meta-analyses of suicidal ideation (259,747 cases), suicide attempt (64,993 cases), suicide death (9,197 cases), and suicidal behavior (suicide attempt/ death, 75,300 cases), across 54 cohorts (e.g., the Psychiatric Genomics Consortium, Million Veteran Program, UK Biobank). We identified 77 significant loci across meta-analyses, including 59 previously unreported for suicidality. SNP-based heritability ranged from 2.0-6.7% and there were strong, yet incomplete, genetic correlations between suicidality phenotypes (0.70-0.88). Fine-mapping prioritized putative causal SNPs and 20 credible genes. Enrichment analyses implicated synaptic pathways and neuronal populations predominantly in subcortical brain regions (e.g., amygdala excitatory, medium spiny, hippocampal CA1-3). Together, these findings establish suicidality as a polygenic set of traits with both shared and distinct genetic influences, providing a foundation for future studies of suicide biology and etiology.

Abstract Eating disorders and substance use disorders frequently co‐occur. Twin studies reveal shared genetic variance between liabilities to eating disorders and substance use, with the strongest associations between symptoms of bulimia nervosa and problem alcohol use (genetic correlation [ r g ], twin‐based = 0.23‐0.53). We estimated the genetic correlation between eating disorder and substance use and disorder phenotypes using data from genome‐wide association studies (GWAS). Four eating disorder phenotypes (anorexia nervosa [AN], AN with binge eating, AN without binge eating, and a bulimia nervosa factor score), and eight substance‐use‐related phenotypes (drinks per week, alcohol use disorder [AUD], smoking initiation, current smoking, cigarettes per day, nicotine dependence, cannabis initiation, and cannabis use disorder) from eight studies were included. Significant genetic correlations were adjusted for variants associated with major depressive disorder and schizophrenia. Total study sample sizes per phenotype ranged from ~2400 to ~537 000 individuals. We used linkage disequilibrium score regression to calculate single nucleotide polymorphism‐based genetic correlations between eating disorder‐ and substance‐use‐related phenotypes. Significant positive genetic associations emerged between AUD and AN ( r g = 0.18; false discovery rate q = 0.0006), cannabis initiation and AN ( r g = 0.23; q < 0.0001), and cannabis initiation and AN with binge eating ( r g = 0.27; q = 0.0016). Conversely, significant negative genetic correlations were observed between three nondiagnostic smoking phenotypes (smoking initiation, current smoking, and cigarettes per day) and AN without binge eating ( r gs = −0.19 to −0.23; qs < 0.04). The genetic correlation between AUD and AN was no longer significant after co‐varying for major depressive disorder loci. The patterns of association between eating disorder‐ and substance‐use‐related phenotypes highlights the potentially complex and substance‐specific relationships among these behaviors.