Are first responders interested in psychedelics? Assessing previous use, interest, and willingness to participate in psychedelic-assisted therapy
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Abstract Background and aims First responders such as firefighters and police officers often experience traumatic events as part of their work. As a result, they are more likely to have mental health issues such as post-traumatic stress disorder, depression, and anxiety compared to the general population. Psychedelic-assisted therapy has emerged as a promising avenue to alleviate these issues, but little is currently known about first responders' interest in, and barriers to, these treatments. Here, we aimed to document first responders' attitudes towards LSD-assisted therapy and previous use of psychoactive drugs. Methods We recruited 102 participants through mailing lists of first responders' unions. Respondents were typically male firefighters in western Canada; others were police officers, paramedics, and military personnel across Canada and the United States. They were asked about their attitudes towards LSD- and marijuana-assisted therapies, previous psychiatric diagnoses, psychosocial impairments, and substance use. Results Respondents showed higher rates of distress and illicit drug use compared to the general population. Of those who sought professional treatment, a minority reported that the treatment had helped them. The respondents were generally interested in taking part in therapy or research involving LSD or marijuana. The setting (e.g., at home vs. a clinic), therapist presence, and drug dose were commonly reported to influence this participation. Conclusions First responders may particularly benefit from psychedelic therapy given their high interest in psychedelic drugs and high rates of treatment-relevant disorders. Better understanding the needs of this population will help inform future clinical trials and psychedelic therapies.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it