Characterising methamphetamine/amphetamine use among opioid agonist therapy‐seeking adults with prescription‐type opioid use disorder in Canada
Bibliographic record
Abstract
INTRODUCTION: There has been a significant increase in methamphetamine/amphetamine use in North America, particularly among people who use opioids. Despite its association with several negative health consequences, the population of people who use methamphetamine/amphetamine with opioids is not well characterised. The aim of this study was to investigate correlates of methamphetamine/amphetamine use among adults with prescription-type opioid use disorder (POUD) starting methadone or buprenorphine/naloxone as part of a pragmatic randomised treatment trial in Canada. METHODS: Multivariable logistic regression analyses were used to determine factors associated with baseline methamphetamine/amphetamine use (measured by urine drug test [UDT]) among participants of a pan-Canadian pragmatic trial conducted between 2017 and 2020 comparing supervised methadone versus flexible take-home dosing buprenorphine/naloxone models of care in people with POUD (e.g., licit or illicit, including fentanyl, prescribed or not). RESULTS: The sample included 269 participants, of which 142 (52.8%) had positive baseline methamphetamine/amphetamine UDT. In the multivariable model, positive fentanyl UDT (adjusted odds ratio [AOR] 13.21, 95% confidence interval [CI] 6.45, 28.30), non-fatal overdose in the last 6 months (AOR 2.26, CI 1.01, 5.17) and a lifetime history of opioid agonist therapy exposure prior to study entry (AOR 2.30, CI 1.09, 4.87) remained positively associated with baseline methamphetamine/amphetamine use. DISCUSSION AND CONCLUSIONS: In this sample of people with POUD, methamphetamine/amphetamine use was associated with markers of complex and severe OUD, including overdose risk. This suggests the need for targeted interventions to optimise treatment outcomes and prevent future overdoses in this population. CLINICAL TRIAL REGISTRATION: Available at: ClinicalTrials.gov NCT03033732.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.004 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".