Pharmacists’ perspectives on psilocybin in Canada
Bibliographic record
Abstract
Background Psilocybin is the main psychoactive component of a naturally occurring psychedelic organism commonly referred to as "magic mushrooms." Existing literature demonstrates beneficial neurologic effects in treatment-resistant depression, cancer-associated depression and anxiety, and substance use. The evidence base for psilocybin use is on the rise with the U.S. Food and Drug Administration owing to a resurgence in clinical research. As such, pharmacists need to be adequately equipped to navigate questions from consumers and care providers. There is currently no literature describing pharmacists' perspectives on psilocybin. Evaluating pharmacists' knowledge, experiences, and opinions about psilocybin may yield beneficial and applicable data to develop educational programs and clinical tools and guide psilocybin policy making. Objective The objective of this study was to evaluate the interest and opinions of pharmacists on psilocybin as an emerging therapeutic option. Methods Licensed pharmacists in Canada were invited to participate in an anonymous, online, 44-item survey aimed at evaluating pharmacists' experiences, knowledge, and attitudes toward psilocybin. Recruitment for the study was done through multiple Canadian pharmacy association newsletters and via LinkedIn. Results Results showed that 73% of pharmacists lacked formal education about psilocybin. Forty percent of pharmacists had conversations about psilocybin less than once a month whereas 60% of pharmacists have never received questions about psilocybin. Furthermore, pharmacists are not comfortable with their knowledge with making recommendations (75%), monitoring (57%), or recommending doses of psilocybin (64%) to patients. Conclusion Pharmacists are open to embracing a role in psilocybin therapy and dispensing. Creation of clinical practice guidelines and increased accessibility to education materials are necessary to supplement pharmacists' knowledge on psilocybin and improve their confidence when advising patients.
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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 | 0.002 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.012 | 0.003 |
| Scholarly communication | 0.004 | 0.001 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.006 | 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".