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Record W2079014084 · doi:10.1017/s1368980000000562

Efficacy and safety of St. John's wort for the treatment of major depression

2000· review· en· W2079014084 on OpenAlexaboutno aff
Monica Nangia, Waqar Syed, P. Murali Doraiswamy

Bibliographic record

VenuePublic Health Nutrition · 2000
Typereview
Languageen
FieldAgricultural and Biological Sciences
TopicNatural Compound Pharmacology Studies
Canadian institutionsnot available
FundersNational Institutes of Health
KeywordsAntidepressantDepression (economics)MedicineHypericumClinical trialPsychiatryMEDLINEIntensive care medicinePharmacologyTraditional medicineInternal medicineAnxiety

Abstract

fetched live from OpenAlex

OBJECTIVE: Extracts of St. John's wort have been widely used in the treatment of depression. Our aim was to review information related to the efficacy and safety of St. John's wort as an antidepressant. DATA SOURCES: Primary and review articles were identified by a search of Medline (1960 to February 2000) and through secondary sources. STUDY SELECTION: All the articles identified from the data sources were evaluated and all relevant information was included in this review. The pharmacokinetics, mechanism of action, efficacy, side effects and drug interactions of St. John's wort have been examined in various studies. CONCLUSION: St. John's wort is a promising investigational antidepressant, but the data are not yet sufficient to accept hypericum as a first line antidepressant preparation for treatment of depression. Besides the need for dose standardization and adequate trial lengths, there is a need for studies in severely depressed patients and long-term studies to assess the risk of relapse and recurrence.

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 distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.996
Threshold uncertainty score0.237

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.109
GPT teacher head0.377
Teacher spread0.268 · 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 teacher head, 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

Citations18
Published2000
Admission routes1
Has abstractyes

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