A description of self-medication with cannabis among adults with legal access to cannabis
Bibliographic record
Abstract
Abstract Objective Little is known about self-medication with cannabis post-recreational cannabis legalization in Canada. We aimed to establish a detailed portrait of self-medication with cannabis among adults in Quebec. Methods We conducted an online survey from November 2020 to January 2021 among individuals aged ≥ 21 years, who endorsed using cannabis bought in legal recreational cannabis stores to self-medicate a health condition. Data were analysed using descriptive statistics and stratified according to sex, age and the type of cannabis use (exclusively medical versus medical and recreational use). Results 489 participants were included. Median age was 34 years, and 48% were women. About 25% reported an exclusive medical use of cannabis. Treated conditions included anxiety (70%), insomnia (56%), pain (53%), depression (37%), and many other. Reasons for not consulting in cannabis clinics included lack of information (52%), complexity of the process (39%), accessibility of cannabis clinics (23%) and other.
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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 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 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".