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Record W1936212622 · doi:10.1002/ptr.4940

Traditional Chinese Medicine and Western Psychopharmacology: Building Bridges

2013· review· en· W1936212622 on OpenAlexafffund
Edward Shorter, Kathryn Segesser

Bibliographic record

VenuePhytotherapy Research · 2013
Typereview
Languageen
FieldPharmacology, Toxicology and Pharmaceutics
TopicPlant-based Medicinal Research
Canadian institutionsUniversity of Toronto
FundersCanadian Institutes of Health Research
KeywordsPsychopharmacologyWestern medicineAlternative medicineAction (physics)MedicineTraditional Chinese medicinePsychiatryPsychologyTraditional medicine

Abstract

fetched live from OpenAlex

This paper demonstrates that in the treatment of psychiatric disorders, there are striking similarities between the mechanisms of psychoactive agents used in Traditional Chinese Medicine (TCM) and those of western psychopharmacology. While western researchers search for new treatments and novel mechanisms of action, investigators in Asia are analyzing traditional remedies in order to understand the mechanisms responsible for their effectiveness. A review of contemporary pharmacologic studies of agents used in TCM for psychiatric indications reveals that virtually all of the active principles of drug action established in 20th century psychopharmacology were encountered empirically in Chinese herbal medicine over the past 2000 years. Building bridges between these two traditions may thus be of benefit to both cultures. In addition to providing western patients with a wider selection of treatment options, the effort may help Asian clinicians and researchers avoid some of the errors that have troubled their western counterparts.

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)0.001
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 score0.004
Threshold uncertainty score0.015

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.003
Science and technology studies0.0010.002
Scholarly communication0.0020.004
Open science0.0010.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0040.001

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.

Opus teacher head0.645
GPT teacher head0.644
Teacher spread0.001 · 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

Citations8
Published2013
Admission routes2
Has abstractyes

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