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Record W4417180548 · doi:10.1097/ftd.0000000000001417

Herbal Remedies in Global Health Care: Classification, Toxicology, and Clinical Management

2025· article· en· W4417180548 on OpenAlexaff
Vanessa Steenkamp, H Parkar, Boitumelo Raphiri, Manuela G. Neuman, Amitava Dasgupta

Bibliographic record

VenueTherapeutic Drug Monitoring · 2025
Typearticle
Languageen
FieldMedicine
TopicComplementary and Alternative Medicine Studies
Canadian institutionsPetro-Canada
Fundersnot available
KeywordsGlobal healthAlternative medicineHealth careMainstreamMEDLINEPrimary health care

Abstract

fetched live from OpenAlex

PURPOSE: Traditional herbal medicines are crucial in the health care system worldwide, particularly for individuals with chronic illnesses. These remedies are commonly classified by purpose, composition, mechanism of action, and origin, with the World Health Organization outlining 4 main categories: indigenous herbal medicines, those used in traditional systems, modified herbal medicines, and imported herbal products. The authors explored the toxicology of commonly used herbal remedies, including their mechanisms, signs and symptoms of toxicity, and treatment strategies. METHODS: Literature was searched using different published resources and databases, PubMed and ScienceDirect. The searched terms included "herbal medicine," "herbal remedies," "traditional medicine systems," "herbal toxicity," "herbal toxicity mechanism of action/toxicity," among others. The searches were limited to the English language, with no restrictions on publication date. RESULTS: The perception that herbal medicines are inherently safe is misleading. Herbal remedies can be toxic due to the plant's intrinsic properties or through contamination and adulteration. Moreover, 15%-20% of individuals on prescription drugs concurrently use herbal supplements, increasing the risk of harmful interactions. Incidence of herb-induced toxicities, particularly hepatotoxicity, is related to the use of Kava, Chaparral, Comfrey, Germander, and green tea extract. Moreover, cardiovascular toxicity due to Chan Su and oleander-containing herbal remedy use is detected by assessing serum digoxin concentration and is treated with Digibind. Although advances in modern formulations and increased regulatory oversight have improved safety, shortcomings remain, particularly in public awareness and standardized regulations. CONCLUSIONS: Comprehensive clinical management, patient education, and integration of traditional medicine into mainstream health care ensures safe, effective, and responsible use of herbal products.

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)0.002
metaresearch head score (Gemma)0.008
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 score0.008
Threshold uncertainty score0.018

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.008
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0080.013
Science and technology studies0.0010.001
Scholarly communication0.0020.002
Open science0.0010.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0050.001

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 head0.064
GPT teacher head0.454
Teacher spread0.390 · 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

Citations0
Published2025
Admission routes1
Has abstractyes

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