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Record W4403741100 · doi:10.1186/s12954-024-01108-5

Unpacking the Effects of Decriminalization: Understanding Drug Use Experiences and Risks among Individuals Who Use Drugs in British Columbia

2024· article· en· W4403741100 on OpenAlexafffundabout
Farihah Ali, Cayley Russell, Margret Lo, Matthew Bonn, Geoff Bardwell, Jade Boyd, Elaine Hyshka, Jürgen Rehm

Bibliographic record

VenueHarm Reduction Journal · 2024
Typearticle
Languageen
FieldMedicine
TopicHIV, Drug Use, Sexual Risk
Canadian institutionsUniversity of AlbertaCanada Research ChairsCanadian AIDS SocietyUniversity of WaterlooUniversity of British ColumbiaPublic Health OntarioMental Health Research CanadaCentre for Addiction and Mental Health
FundersCanadian Institutes of Health Research
KeywordsDecriminalizationHealth psychologyUnpackingDrugMedicinePsychologyEnvironmental healthPublic healthCriminologyPharmacologyNursing

Abstract

fetched live from OpenAlex

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.

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.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.005
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.085
Threshold uncertainty score0.170

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.005
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0130.006
Scholarly communication0.0050.002
Open science0.0010.003
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0020.000

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.

Opus teacher head0.083
GPT teacher head0.344
Teacher spread0.261 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
Domainnot available
GenreEmpirical

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".

Quick stats

Citations13
Published2024
Admission routes3
Has abstractyes

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