Are recommended doses of acetaminophen hepatotoxic for recently abstinent alcoholics? A randomized trial
Bibliographic record
Abstract
Although acetaminophen overdose is a leading cause of fulminant hepatic failure, it is controversial whether therapeutic doses of acetaminophen can cause hepatotoxicity in alcoholics, especially those rendered most vulnerable by recent abstinence. We performed a randomized, triple-blind, parallel-group trial comparing sustained-release acetaminophen, 1300 mg orally q8h for 11 doses, against placebo. We enrolled chronic alcohol abusers (defined as >or= 6 drinks daily for >or= 6 weeks) who had discontinued alcohol consumption 12 to 72 hours prior to enrollment. Individuals with self-reported viral hepatitis, HIV or intravenous drug use, baseline AST or ALT >120 IU/L, or INR >1.5 were excluded. Hepatic function tests were drawn daily for 5 days. The primary outcome was change in serum alpha-GST, a sensitive experimental biomarker of hepatocellular injury; secondary outcomes were changes in serum AST, ALT, INR, and study withdrawal for a doubling of aminotransferases to >120 IU/L. Of 52 subjects randomized, 40 completed at least four days of intervention. Subjects receiving acetaminophen had 32% [95% CI 7%, 50%] and 29% [6%, 46%] lower serum alpha-GST concentrations on days 2 and 3, respectively, compared to placebo, but these differences disappeared by day 4. No subjects were withdrawn for safety reasons. In conclusion, therapeutic doses of sustained-release acetaminophen cause a measurable decrease in serum alpha-GST during the first days of abstinence from chronic alcohol use. While the mechanism is unclear, these observations do provide some reassurance that short courses of acetaminophen are unlikely to cause subclinical hepatocellular injury in recently abstinent alcoholics.
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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 | 0.004 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.004 | 0.003 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.005 | 0.003 |
| Insufficient payload (model declined to judge) | 0.010 | 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".