Safer Opioid Supply, Subsequent Drug Decriminalization, and Opioid Overdoses
Bibliographic record
Abstract
Importance: British Columbia, Canada, was the first and only jurisdiction globally to implement a province-wide safer supply policy, which offered pharmaceutical grade opioids to individuals at risk of opioid overdose, followed by the decriminalization of drug possession. Supporters of the safer supply policy argue that this policy could save lives by offering pharmaceutical-grade opioids to people who use toxic street drugs. Similarly, proponents of decriminalization suggest that decriminalizing drug possession could reduce drug overdoses by reducing stigma associated with drug use and enabling persons who use drugs to seek addictions treatment. However, critics of both policies believe that providing safer opioids and removing penalties for drug possession may worsen the crisis. Currently, there is limited evidence on the health impacts of these policies. Objective: To assess the association of British Columbia's adoption of the safer supply policy and subsequent decriminalization of drug possession with opioid overdose hospitalizations and deaths. Design, Setting, and Participants: This observational cohort study used synthetic difference-in-differences analysis with quarterly province-level data to compare prepolicy and postpolicy changes in British Columbia with those in other Canadian provinces that did not implement these policies. The study period spanned from quarter 1 of 2016 to quarter 4 of 2023. Exposure: Safer opioid supply policy implemented in March 2020 and decriminalization of drug possession implemented in January 2023. Main Outcomes and Measures: Opioid-poisoning hospitalizations and apparent opioid-related toxicity deaths, measured as number per 100 000 population. Results: The safer supply policy alone was associated with an increase of 1.66 opioid hospitalizations per 100 000 population (95% CI, 0.41-2.92; P = .009) or 33%. The addition of drug possession decriminalization was associated with a further increase of 1.27 opioid hospitalizations per 100 000 population (95% CI, 0.05-2.50; P = .046) for an overall 58% increase compared with the period before the safer supply policy was in effect. There was insufficient evidence to conclusively attribute an increase in opioid overdose deaths to these policy changes. Conclusions and Relevance: This cohort study found that neither the safer supply policy nor the subsequent decriminalization of drug possession appeared to alleviate the opioid crisis. Instead, both were associated with an increase in opioid overdose hospitalizations. The observed increase in opioid hospitalizations, without a corresponding increase in opioid deaths, may reflect greater willingness to seek medical assistance because decriminalization could reduce the stigma associated with drug use. However, it is also possible that reduced stigma and removal of criminal penalties facilitated the diversion of safer opioids, contributing to increased hospitalizations.
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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 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.002 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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".