The moderating effect of psychedelics on the prospective relationship between prescription opioid use and suicide risk among marginalized women
Bibliographic record
Abstract
BACKGROUND/AIMS: Given high rates of depression and suicide among marginalized women, and increasing calls to integrate trauma-informed biomedical and community-led structural interventions, this study longitudinally examines the potential moderating effect of psychedelic use on the relationship between other illicit drug use and suicide risk. METHODS: Data (2010-2017) were drawn from a community-based, prospective open cohort of marginalized women in Vancouver, Canada. Extended Cox regression analyses examined the moderating effect of psychedelic use on the association between other illicit drug use and incidence of suicidal ideation or attempt over follow-up. RESULTS: Of 340 women without suicidal ideation or attempt at baseline, 16% ( n=53) reported a first suicidal episode during follow-up, with an incidence density of 4.63 per 100 person-years (95% confidence interval 3.53-6.07). In unadjusted analysis, psychedelic use moderated the relationship between prescription opioid use and suicide risk: among women who did not use psychedelics, prescription opioid use increased the hazard of suicide (hazard ratio 2.91; 95% confidence interval 1.40-6.03) whereas prescription opioid use was not associated with increased suicidal ideation or attempt among those who used psychedelics (hazard ratio 0.69; 95% confidence interval 0.27-1.73) (interaction term p-value: 0.016). The moderating effect of psychedelics remained significant when adjusted for confounders (interaction term p-value: 0.036). CONCLUSIONS: Psychedelic use had a protective moderating effect on the relationship between prescription opioid use and suicide risk. In the context of a severe public health crisis around prescription opioids and lack of addiction services tailored to marginalized women, this study supports calls for innovative, evidence-based and trauma-informed interventions, including further research on the potential benefits of psychedelics.
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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 | 0.001 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".