Interest in receiving psychedelic-assisted therapy among marginalized women: Implications and findings from a community-based study in Canada
Bibliographic record
Abstract
Background: Psychedelic-assisted therapies are receiving mounting attention for their therapeutic potential. However, little is known about interest among women who experience elevated risk of mental health and substance use disorders. This study examined interest in receiving psychedelic-assisted therapy and socio-structural factors associated with interest among marginalized women. Methods: Data (2016-2017) were drawn from two community-based, prospective open cohorts of >1000 marginalized women in Metro Vancouver, Canada. Bivariate and multivariable logistic regression examined associations with interest in receiving psychedelic-assisted therapy. Among women who used psychedelics, additional data were collected to describe ratings of personal meaningfulness, sense of wellbeing, and spiritual significance. Results: = 211) were interested in receiving psychedelic-assisted therapy. Over half identified as Indigenous (First Nations, Métis or Inuit). Factors independently associated with interest in psychedelic-assisted therapy in multivariable analysis included: daily crystal methamphetamine use in the last six months (Adjusted Odds Ratio [AOR] 3.02; 95%Confidence Interval (CI) 1.37-6.65), lifetime mental health conditions (depression, anxiety, post-traumatic stress disorder) (AOR 2.13; 95%CI 1.27-3.59), childhood abuse (AOR 1.99; 95%CI 1.02-3.88), lifetime psychedelic use (AOR 1.97; 95%CI 1.14-3.38), and younger age (AOR 0.97 per year older; 95%CI 0.95-0.99). Conclusions: Several mental health and substance use-related variables that have been demonstrated to be amenable to psychedelic-assisted therapy were associated with interest in receiving psychedelic-assisted therapy among women in this setting. As access to psychedelic-assisted therapies continues to expand, any future approaches to extend psychedelic medicine to marginalized women should integrate trauma-informed care and broader socio-structural supports.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.005 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.002 |
| 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".