Herbal Remedies in Global Health Care: Classification, Toxicology, and Clinical Management
Bibliographic record
Abstract
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.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".