Unpacking the Effects of Decriminalization: Understanding Drug Use Experiences and Risks among Individuals Who Use Drugs in British Columbia
Bibliographic record
Abstract
OBJECTIVES: On January 31, 2023, a three-year exemption from the Controlled Drugs and Substances Act was granted to the Canadian province British Columbia (BC), allowing the cumulative possession of 2.5 g of specific unregulated drugs amongst adults. The goals of the policy are to reduce health, social, and economic harms associated with criminalization, stigma, drug overdose deaths, as well as drug seizures, arrests, and associated enforcement and court costs. As the inaugural year has passed, we aimed to assess people who use drugs' awareness and knowledge of the, as well as the policy's impact on their drug use patterns and overdose risk. METHODS: We conducted 100 telephone-based semi-structured interviews with people who use drugs from across BC, exploring changes in drug use experiences and perceived overdose risk since the implementation of the policy. Participants also completed an interviewer-administered survey assessing socio-demographics and substance use patterns. We utilized a qualitative content analysis approach to analyze the interview data. RESULTS: Our findings indicate a general awareness of the policy among participants, although some policy details were often misunderstood, and participants expressed the need for more widespread dissemination of policy information. While the majority of participants reported that their drug use patterns remained unchanged after decriminalization, some made subtle adjustments, such as carrying under the 2.5 g threshold to minimize the risk of criminalization. Participants highlighted several policy benefits and concerns, including its potential to reduce criminalization and stigmatization, but also increase public drug consumption. Participants offered suggestions for policy improvement. CONCLUSION: These findings underscore the need for ongoing monitoring of the impacts of decriminalization regarding its potential impact on people who use drugs' drug use patterns and related risks. Reevaluation of the possession threshold and efforts to enhance education and awareness about the policy could help achieve the policy's goals.
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How this classification was reachedexpand
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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".