Effect of Alosetron on the Pharmacokinetics of Fluoxetine
Bibliographic record
Abstract
Lotronex (alosetron hydrochloride) is a 5-HT3 receptor antagonist indicated for the treatment of irritable bowel syndrome (IBS) in females whose predominant bowel habit is diarrhea. Alosetron is extensively metabolized by multiple cytochrome P450 (CYP) enzymes, including CYP2C9 and CYP3A4. Fluoxetine is an antidepressant that is administered as a racemic mixture of equipotent R- and S-enantiomers. Fluoxetine metabolism involves CYP2D6 and CYP2C9 in the formation of its major metabolite, norfluoxetine. This metabolite is also present as two enantiomers, of which only the S-enantiomer exhibits comparable antidepressant activity. This study was conducted to assess the potential for an effect of alosetron on the pharmacokinetics of fluoxetine. This was an open-label, two-period, nonrandomized, crossover study in 12 healthy female and male volunteers. The pharmacokinetics for both enantiomers of fluoxetine and norfluoxetine were examined following single oral doses of 20 mg fluoxetine, given alone and in combination with alosetron 1 mg twice daily for 15 days. The results showed small delays in peak concentration but no clinically significant effect of alosetron on the pharmacokinetics of S- and R-fluoxetine or S- and R-norfluoxetine. Coadministration of alosetron and fluoxetine was well tolerated by all subjects.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".