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Record W2056562047 · doi:10.1055/s-2001-15463

The Effects of Extracts from St. John's Wort and Kava Kava on Brain Neurotransmitter Levels in the Mouse

2001· article· en· W2056562047 on OpenAlex

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.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenuePharmacopsychiatry · 2001
Typearticle
Languageen
FieldMedicine
TopicMedicinal Plant Extracts Effects
Canadian institutionsnot available
Fundersnot available
KeywordsKavaNeurotransmitterPharmacologyMedicineTraditional medicineNeurosciencePsychologyCentral nervous system

Abstract

fetched live from OpenAlex

Extracts of Hypericum perforatum (St. John's Wort, SJW) and Kava Kava are well established in the treatment of psychiatric disorders. Several controlled clinical studies have confirmed that SJW extract represents an effective antidepressant principle superior to placebo [13] [18] [19]. SJW extract contains at least ten constituents or groups of components that may contribute to its pharmacological effects [4]. SJW extracts have been shown to inhibit synaptosomal uptake of serotonin, dopamine and noradrenaline, implying a biochemical mechanism similar to classical antidepressants [14] [15]. The reuptake inhibiting properties of SJW extract have mostly been attributed to the phloroglucinol derivative, hyperforin [15]; see also Wonnemann et al., this issue.

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 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)0.001
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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.745
Threshold uncertainty score0.772

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.017
GPT teacher head0.304
Teacher spread0.287 · 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