Anesthesia update - Incorporating methadone into companion animal anesthesia and analgesic protocols: A narrative review.
Bibliographic record
Abstract
Opioid analgesics are routinely used during the perioperative period, to provide analgesia and reduce anesthetics doses required to maintain a surgical plane of anesthesia in companion animals. Acting on receptors in the brain, spinal cord, and peripheral nervous system, opioids provide reliable and consistent analgesia; however, they are not without adverse effects. Methadone, a mu agonist opioid analgesic, was recently licensed for veterinary use in Canada. In addition to its action on opioid receptors, methadone contributes to analgesia through other pathways, including inhibition of N-methyl-D-aspartate (NMDA) receptors. It has physiologic effects similar to other mu opioid agents, but fewer adverse gastrointestinal effects. This review discusses methadone's mechanism of action, pharmacologic characteristics, and clinical effects in dogs and cats. Current recommendations for using methadone in companion animals are also provided.
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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 | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.007 | 0.002 |
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".