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Record W2135464289 · doi:10.2190/pbfd-lwb4-u8cg-53c9

St. John's Wort

2000· review· en· W2135464289 on OpenAlexaboutno aff
Howard L. Field, Daniel Monti, Jeffrey M. Greeson, E Kunkel

Bibliographic record

VenueThe International Journal of Psychiatry in Medicine · 2000
Typereview
Languageen
FieldAgricultural and Biological Sciences
TopicNatural Compound Pharmacology Studies
Canadian institutionsnot available
FundersNational Institutes of Health
KeywordsMEDLINEMedicineDepression (economics)Action (physics)Alternative medicine

Abstract

fetched live from OpenAlex

OBJECTIVE: The objective of this article is to review the current knowledge of the pharmacology, sites of action, and therapeutic effectiveness of St. John's Wort. METHOD: The method used was a review of the available literature, using keywords to search the medline database. Bibliographies of the papers, thus obtained, were searched for further documents not referenced by medline. We reviewed papers from this collection. RESULTS: This review reveals that most of the available data on efficacy and safety of St. John's Wort involve its use in mild to moderate depression. Much, but not all of the prevailing opinion is positive. Nevertheless, the quality of therapeutic trials vary so greatly that definitive conclusions are not possible. Both the source and mode of St. John's Wort's therapeutic effect are unclear. We need further controlled studies of effectiveness, safety, and mode of action. In addition to its use in depression, there are reports suggesting possible therapeutic effects in other conditions such as certain malignancies and infections, but these are far too preliminary to permit any conclusions.

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.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.011
Threshold uncertainty score0.038

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.001
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0110.004

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.

Opus teacher head0.056
GPT teacher head0.379
Teacher spread0.322 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreReview

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".

Quick stats

Citations11
Published2000
Admission routes1
Has abstractyes

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