St. John's Wort (Hypericum Perforatum) - Is it Safe during Breastfeeding?
Bibliographic record
Abstract
Both doctors and patients often treat postnatal depression with herbal preparations derived from St. John's wort. Because these preparations are available to patients as "natural" over-the-counter drugs for depression, they are popularly assumed to be safe. However, no systematic information exists regarding treatment of postnatal depression, infant's safety or pharmacokinetics of hypericum constituents in human breast milk or infant plasma. A mother with post-natal depression was admitted at our service. Her pharmacist had recommended taking a St. John's wort preparation three times a day (Jarsin 300, Lichtwer Pharma AG, Berlin, Germany). Four breast-milk samples (fore and hind milk) during an 18-hour period were analyzed to measure concentration of hypericin and hyperforin. Only hyperforin is excreted into breast milk at a low level, hyperforin and hypericin (two major active components) were below the lower limit of quantification (BLQ: below lower limit of quantification, LQ hypericin: 0.20 ng/ml, LQ hyperforin: 0.50 ng/ml) in this infant's plasma. No side effects were seen in the mother or infant. Before recommending St John's wort for the treatment of depression to women who breastfeed, long-term studies of outcome in infants are needed.
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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) | 0.000 | 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 | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".