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Record W4391705218 · doi:10.1016/j.drugpo.2024.104339

Prescribed safer opioid supply: A scoping review of the evidence

2024· review· en· W4391705218 on OpenAlexafffund
Shaleesa Ledlie, Ria Garg, Clare Cheng, Gillian Kolla, Tony Antoniou, Zachary Bouck, Tara Gomes

Bibliographic record

VenueInternational Journal of Drug Policy · 2024
Typereview
Languageen
FieldMedicine
TopicOpioid Use Disorder Treatment
Canadian institutionsUniversity of VictoriaSt. Michael's HospitalInstitute for Clinical Evaluative SciencesToronto Rehabilitation InstituteUniversity of Toronto
FundersCanadian Institutes of Health Research
KeywordsSAFEROpioidBusinessInternet privacyMedicineComputer securityComputer science

Abstract

fetched live from OpenAlex

BACKGROUND: Safer opioid supply programs provide prescription pharmaceutical opioids, often with supportive services, to people at high risk of experiencing harms related to substance use. However, questions regarding the effectiveness and safety of this practice remain. We conducted a scoping review of literature describing client outcomes from formal opioid supply programs providing prescriptions for pharmaceutical opioids, and the perceptions of involved clients/providers. METHODS: We performed a scoping review of peer-reviewed studies and grey literature published between January 1, 2012, to September 12, 2023. We included articles reporting either safer opioid supply client outcomes or clients/providers perspectives. Extracted data included study objectives, substance use patterns, client outcomes, client/provider perspectives, and estimates of effectiveness and/or harm. RESULTS: Our search yielded 1,597 articles. Following removal of duplicates and application of exclusion criteria, 24 publications comprising 17 peer-reviewed and seven grey literature publications were included in our study. We generated eight themes summarizing topics in the available literature: opioid-related toxicities, infectious complications, other clinical outcomes, client-reported outcomes, program access barriers, diversion, program retention, and costs to the healthcare system. Specific findings included low rates of opioid toxicities, improved physical and mental health, and improved quality of life among clients. A lack of access to adequate opioid doses and the limited range of opioid options offered within safer opioid supply programs was described by clients and providers as a potential reason for diversion and a barrier to program access. CONCLUSIONS: Generally, evidence suggests that safer opioid supply programs are beneficial to clients through measurable outcomes. However, the available literature has important limitations, including limited inferences about the effectiveness, safety, and potential for diversion within safer opioid supply programs. Further research is needed to support the ongoing evaluation of safer opioid supply programs as one component of a multifactorial response to escalating rates of substance-related harms.

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)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: Systematic review
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.422
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0020.002
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.059
GPT teacher head0.450
Teacher spread0.391 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designSystematic review
Domainnot available
GenreReview

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

Citations60
Published2024
Admission routes2
Has abstractyes

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