Methadone Death, Dosage and Torsade de Pointes: Risk-Benefit Policy Implications
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
Methadone maintenance treatment (MMT) for opioid dependency has consistently shown important heath, social and legal benefits. What started as a small experimental program in Lexington, Kentucky has grown and expanded substantially over 35 years. Its practice is now well established both in specialized centers and in the broader community. In society, methadone deaths represent an important issue of public safety: methadone diversion to and ingestion by nontolerant individuals outside of treatment. Within treatment, methadone deaths occur most commonly in the early stabilization period (due to issue of tolerance), in periods of transition, or among certain individuals who abuse other substances (opioids, benzodiazepines, or alcohol). Research suggests moderately high methadone dosages help improve patient retention. Results from pharmacodynamic, kinetic and stereospecific studies continue to support the importance of individualizing dose. For some patients, much larger doses may be necessary to fully achieve all pharmacotherapy goals of treatment. Practitioners must be cautious however as certain patients on higher dosages are predisposed to torsade de pointes and increased mortality. Policymakers have a responsibility in their decision-making to balance the quality of life benefits for patients within MMT with the risks of increased mortality both for individuals within treatment and the general public.
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.
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) | 0.002 | 0.001 |
| 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 | 0.001 |
| 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 it