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Record W1936212622 · doi:10.1002/ptr.4940

Traditional Chinese Medicine and Western Psychopharmacology: Building Bridges

2013· review· en· W1936212622 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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.

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.

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)0.007
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.908
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0070.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0020.001
Science and technology studies0.0010.003
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.007
Insufficient payload (model declined to judge)0.0090.001

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