Treatment of Chronic Pain by Long‐Acting Opioids and the Effects on Sleep
Bibliographic record
Abstract
Chronic pain affects a substantial part of the population, and conveys a huge economic cost to society. Owing to its prevalence and adverse impact, it is of particular interest to clinicians, patients, and the pharmaceutical industry. Conversely, the effects of pain on sleep, sleep on pain, and opioid analgesics on sleep represent a large gap in our understanding, even though pain and sleep are closely linked, inter-related conditions. Chronic pain is often treated by opioid analgesics, which are often thought to promote restful sleep. Indeed it may be assumed that by relieving pain, sleep quality will improve concomitantly. In fact, the reality is much more complicated. The effects of opioids vary according to their formulation and duration of action, and have diverse effects on sleep processes. Despite the prevalence of this problem, there is a surprising paucity of data on the effects of opioids on sleep. This review attempts to summarize the links between pain and sleep, and to look at the studies with opioid analgesics, particularly those with extended-release formulations, that have investigated the effects of opioid analgesics on sleep.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), 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".