Bibliographic record
Abstract
The cytochrome P450 (CYP450) system comprises more than 40 individual enzymes that have been identified in humans. Six major CYP450 isoenzymes are responsible for more than 90% of oxidation of drugs in humans: 1A2, 3A4, 2C9, 2C19, 2D6, and 2E1. Methadone is metabolized by several CYP450 isoenzymes (1A2, 3A4, 2B6, 2C8, 2C9, 2C19, and 2D6) to 2-ethylidene-1,5-dimethyl-3,3-diphenylpyrrolidine (EDDP), an inactive metabolite. CYP3A4 is considered the primary isoenzyme responsible for metabolism, followed by CYP2D6. Various drugs may inhibit the CYP450 system. Among the quinolone antibiotics, ciprofloxacin has been demonstrated in vitro to be one of the more potent of these inhibitors, affecting in particular CYP1A2 and CYP3A4. However, the clinical response is sometimes difficult to predict, and the significance of the interaction differs among patients. This report describes a patient who was receiving a stable dose of methadone for treatment of heroin addiction and in whom severe respiratory depression developed after initiation of ciprofloxacin for aspiration pneumonia.
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.
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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| 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 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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 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".