Effect of Methadone Treatment on Incarceration Rates among Injection Drug Users
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
BACKGROUND: Methadone maintenance treatment (MMT) has been shown to dramatically reduce illicit opioid use and criminal activity among injection drug users (IDU). However, questions remain concerning the effect of MMT in reducing rates of incarceration among IDU. We therefore sought to investigate the long-term effect of MMT on rates of incarceration. METHODS: We performed a generalized estimating equation longitudinal analysis of factors associated with incarceration among participants in the Vancouver Injection Drug Users Study (VIDUS). We also recorded whether participants reported having difficulty accessing drug treatment during the study period. RESULTS: Among 1,247 active IDU, 624 (50.0%) reported being incarcerated at least once during the 6-year study period. In multivariate analysis, there was a strong negative association between methadone treatment and incarceration (adjusted odds ratio = 0.64, 95% CI: 0.54-0.76, p < 0.001) despite intensive covariate adjustment. CONCLUSIONS: Given our findings concerning the strong negative association between MMT and incarceration, and the reported high-risk injection practices of incarcerated IDU, limiting the availability of MMT has the potential to further exacerbate the high levels of HIV transmission found among IDU who are in need of treatment both in their communities and in correctional facilities.
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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 | 0.003 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| 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 | 0.001 |
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 it