Effect of psilocybin therapy on suicidal ideation, attempts, and deaths in people with psychiatric diagnoses: a systematic review and meta-analysis
Bibliographic record
Abstract
Background: Suicidal ideation, attempts, and deaths present a major and tragic public health concern. Recent trials of psilocybin therapy (PT) have shown promise in treating treatment-resistant depression and have found a reduction in suicidal ideation. Given the growth of PT research, there is a need to further understand its effect on suicidal ideation, attempts, and deaths. Objective: To assess and synthesize evidence on the effects of PT on suicidal ideation, attempts, and deaths in psychiatric patients. Design: PRISMA-compliant systematic review and meta-analysis. Data source: MEDLINE, EMBASE, Cochrane, and PsychINFO. Method: Databases were searched for randomized controlled trials of PT in adults with psychiatric diagnoses that reported suicide outcomes (ideation, attempts, and deaths). Abstract and full-text screening were conducted, and suicide outcomes were extracted. Meta-analysis was performed with a random effects model to assess changes in suicide outcomes compared to control through the standardized mean difference (SMD). Assessment of heterogeneity, risk of bias, and subgroup analysis was completed. Results: Nine studies were included ( N = 593; 335 psilocybin & 258 control). Two studies were excluded from meta-analysis because suicide-related outcomes data were not available. Participants with PT experienced a small and significant decrease in suicidal ideation compared to control ( k = 7, SMD = −0.24, 95% CI −0.42 to −0.06, p = 0.008, I 2 = 0%). There was no publication bias found. Subgroup analysis found no significant differences between groups. No study reported suicide attempts or suicide deaths. Two studies had a high risk of bias. Conclusion: Psilocybin therapy may reduce suicidal ideation in adults with psychiatric diagnoses. Current studies are limited by small sample size, lack of follow-up data, and assessment of blinding. Trial registration: CRD42023445706.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.011 | 0.023 |
| Meta-epidemiology (narrow) | 0.003 | 0.001 |
| Meta-epidemiology (broad) | 0.020 | 0.037 |
| Bibliometrics | 0.007 | 0.007 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".