Oral Methadone for Chronic Noncancer Pain
Bibliographic record
Abstract
OBJECTIVE: To assess the indications, prescription patterns, effectiveness, and side effects of oral methadone for the treatment of chronic noncancer pain. METHODS: We conducted searches of several electronic databases, textbooks and reference lists for controlled or uncontrolled studies in humans. Effectiveness was assessed using a dichotomous classification of "meaningful" versus "nonmeaningful" outcomes. RESULTS: Twenty-one papers (1 small randomized trial, 13 case reports, and 7 case series) involving 545 patients with multiple noncancer pain conditions were included. In half of the patients, no specific diagnosis was reported. Methadone was administered primarily when previous opioid treatment was ineffective or produced intolerable side effects. Starting dose ranged from 0.2 to 80 mg/day and maximum dose ranged from 20 to 930 mg/day. Pain outcomes were meaningful in 59% of the patients in the uncontrolled studies. The randomized trial demonstrated a statistically significant improvement in pain for methadone (20 mg/day) compared to placebo. Side effects were considered minor. DISCUSSION: Oral methadone is used for various noncancer pain syndromes, at different settings and with no prescription pattern that could be identifiable. Starting, maintenance, and maximum doses showed great variability. The figure of 59% effectiveness of methadone should be interpreted very cautiously, as it seems overrated due to the poor quality of the uncontrolled studies and their tendency to report positive results. The utilization of oral methadone for noncancer pain is based on primarily uncontrolled literature. Well-designed controlled trials may provide more accurate information on the drug's efficiency in pain syndromes and in particular neuropathic pain.
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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 | 0.037 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.004 | 0.003 |
| 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 | 0.001 | 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".