Batch-to-Batch Reproducibility of St. John's Wort Preparations
Bibliographic record
Abstract
Over the last few years, St. John's Wort products have enjoyed a tremendous surge in interest and sales for the therapy of mild to moderate depression. Although the complete spectrum of active substances in this herbal extract has not yet been elucidated, it is certain that hyperforin is an important component. Further, it appears that the hypericins may also contribute to the antidepressive activity. In this study, the content uniformity of eleven St. John's Wort products sold exclusively in pharmacies was determined. The main objective was to determine the batch-to-batch reproducibility of the various products. The hyperforin was analysed according to a previously published HPLC method, while the total hypericin content was determined by an electrochemical method. The results indicate that some, but not all, products show very reproducible batch-to-batch properties. Also, individual products have different hypericin and hyperforin levels, and are therefore not switchable--even when products are manufactured under similar extraction and processing conditions, have the same raw material:extract ratios (on a dry basis) and contain the same amount of extract per unit dosage form.
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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 | 0.006 | 0.013 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".