Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
PURPOSE: This article aimed 1) to review herbal medicine containing pyrrolizidine alkaloids (PA)-induced toxicities of the liver; 2) to encourage the recognition and prevention of common problems encountered when using complementary and alternative medicine and 3) to review the toxic effects of herbal remedies containing PAs. DESIGN AND METHODS: We performed a systematic literature search using the PubMed and Google Scholar engines. The search was not restricted to languages. We also provide an interpretation of the data. CONCLUSIONS: Herbal remedies containing PAs can induce liver damage, including hepato- sinusoidal obstruction syndrome or veno-occlusive disease. Preventing overdose and monitoring long-term use of such remedies may avoid glutathione depletion leading to mitochondrial injury, and therefore avoid liver cell damage. Moreover, immediately stopping the herbal medication prevents further harm to the liver. Chronic consumption of hepatotoxicants can lead to cancer formation and promotion. The role of active metabolites in PA-induced liver toxicity and their mechanism of action require further investigation. This article is open to POST-PUBLICATION REVIEW. Registered readers (see "For Readers") may comment by clicking on ABSTRACT on the issue's contents page.
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.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it