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Record W7083415869 · doi:10.1097/cxa.0000000000000250

Canadian Society of Addiction Medicine Position Statement in Support of Supervised Consumption Services

2025· article· en· W7083415869 on OpenAlexaffvenueabout

Bibliographic record

VenueThe Canadian Journal of Addiction · 2025
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicDiverse Scientific and Economic Studies
Canadian institutionsDalhousie UniversityUniversity of ManitobaUniversity of Calgary
Fundersnot available
KeywordsHarm reductionAddictionAddiction medicineOpioid overdoseHarmPublic healthHealth carePosition statementSubstance abuse

Abstract

fetched live from OpenAlex

INTRODUCTION The Canadian Society of Addiction Medicine (CSAM-SMCA) supports supervised consumption services (SCS) and recognizes their important role in addiction care. CSAM-SMCA is a national society of medical professionals and scientists committed to helping Canadians understand addiction and recover with dignity from substance use disorders. We support evidence-based practice in all 4 pillars of addiction care, including harm reduction, prevention, treatment, and enforcement. We support the implementation and continued operation of SCS across Canada as an evidence-based harm reduction strategy that saves lives, reduces the health and social consequences of substance use, and improves access to care for people who use drugs. Canada continues to face an opioid poisoning emergency. Between 2016 and 2024, over 47,000 people died of opioid overdose. Amidst this ongoing public health crisis, SCS, including overdose prevention sites, have emerged as a vital component of the national response. SCS are regulated health facilities where people are monitored by trained staff while using pre-obtained substances. Staff are available to provide education, support, resources, and emergency medical care for drug poisoning events. Sites vary across the country in terms of services offered. For example, most are not equipped for inhalation, despite shifts in drug use. Community engagement and treatment connections also vary but are important ways sites should provide further support. Even with these limitations, the benefits of SCS are supported by robust peer-reviewed research. Key benefits of SCS include: Reduction in overdose deaths: Multiple studies have shown that SCS significantly reduce overdose mortality in surrounding communities.1–3 Decreased transmission of infectious diseases: SCS reduce the spread of blood-borne infections such as HIV and hepatitis C by providing sterile equipment and safer injection education.4,5 Community benefits: SCS do not promote or increase drug use. Research shows that public drug use and crime levels remain the same or decrease in areas surrounding these services.6–8 Cost-effectiveness: Economic analyses demonstrate that SCS provide significant cost savings by preventing overdose deaths and reducing the burden on emergency services and hospitals.9–11 Improved access to care and treatment: SCS serve as a critical point of contact for marginalized individuals, facilitating entry into detoxification, treatment, and primary health care.12–15 CSAM-SMCA’s mission is to advance the understanding and treatment of substance use disorders, and to provide hope and dignity for all touched by addiction. Supervised Consumption Services are a life-saving, evidence-based component of Canada’s response to the toxic drug crisis as part of the pillar of harm reduction, and alongside prevention, treatment, and enforcement. CSAM-SMCA urges all levels of government, health care providers, and community stakeholders to support the expansion and destigmatization of these critical services.

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 distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.236
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.000

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 head0.026
GPT teacher head0.219
Teacher spread0.193 · 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 teacher head, not a consensus.

Study designNot applicable
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

Citations0
Published2025
Admission routes3
Has abstractyes

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