Assessing the Impact of Methadone Maintenance Treatment (MMT) on Post-release Recidivism among Male Federal Correctional Inmates in Canada
Bibliographic record
Abstract
Methadone maintenance treatment (MMT) can benefit post-release outcomes for correctional populations with opioid dependence, yet few outcome data exist for Canada. This retrospective study examined return to custody (RTC) outcomes following correctional release among three samples of male federal offenders with problematic opioid use ( n = 856): offenders who continued MMT post-release (MMT-C) and offenders who discontinued MMT post-release (MMT-T) after being initiated on correctional MMT, and a non-MMT treated control group (MMT-N). MMT status was determined by community-based urinalysis; administrative data were used for outcomes. While the rate of continued MMT was lower, the MMT-C group had a 36% lower risk of RTC than the MMT-N group; RTC risk was not significantly different between the MMT-T and the MMT-N groups. Continuous MMT for correctional offenders with opioid dependence appears to be related to decreased post-release recidivism, and thus to social reintegration outcomes. Better understanding and improvement of corrections-to-community transition dynamics concerning MMT are required.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".