Feasibility and Outcomes of a Community-Based Taper-to-Low- Dose-Maintenance Suboxone Treatment Program for Prescription Opioid Dependence in a Remote First Nations Community in Northern Ontario
Bibliographic record
Abstract
Objective: Non-medical prescription opioid use (NMPOU) is a major health problem in North America and increasingly prevalent among First Nations people. More than 50% of many Nishnawbe Aski Nation communities in northern Ontario report NMPOU, resulting in extensive health and social problems. Opioid substitution therapy (OST) is the most effective treatment for opioid dependence yet is unavailable in remote First Nations communities. Suboxone (buprenorphine and naloxone) specifically has reasonably good treatment outcomes for prescription opioid (PO) dependence. A pilot study examining the feasibility and outcomes of a community-based Suboxone taper-to-low-dose-maintenance program for PO-dependent adults was conducted in a small NAN community as a treatment option for this particular setting.Design: Participants (N = 22, ages 16–48 years) were gradually stabilized on and tapered off Suboxone (provided on an outpatient and directly-observed basis) over a 30-day period. Low dose maintenance was offered post-taper to patients with continued craving and relapse risk; community-based aftercare was provided to all participants. Results: Of 22 participants, 21 (95%) completed the taper phase of the program. Fifteen (88%) of 17 participants tested by urine toxicology screening had no evidence of PO use on day 30. No adverse side effects were observed. All but one of the taper completers were continued on low-dose maintenance. Conclusion: Community-based Suboxone taper-to-low-dose-maintenance is feasible and effective as an initial treatment for PO-dependence in remote First Nations populations, although abstinence is difficult to achieve and longer term maintenance may be required. More research on OST for First Nations people is needed; existing OST options, however, should be made available to First Nations communities given the acute need for treatment.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 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 | 0.001 |
| 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".