Ethnobotanical Uses and Phytochemistry of <i>Eucommia ulmoides</i>: A Comprehensive Review
Bibliographic record
Abstract
Eucommia ulmoides, a widely used medicinal plant in traditional Chinese medicine, has a history of nearly two thousand years.This study systematically reviews the ethnobotanical uses and phytochemical properties of E. ulmoides, integrating historical knowledge with modern scientific research to explore its pharmacological activities and potential applications in modern medicine.The previous studies have demonstrated that E. ulmoides is rich in various bioactive compounds, including lignans, iridoids, flavonoids, and phenolic acids, which exhibit significant antioxidant, anti-inflammatory, antihypertensive and neuroprotective effects.Additionally, it reveals the potential applications of E. ulmoides extracts in treating cardiovascular diseases, neurodegenerative disorders and cancer.By thoroughly analyzing the traditional uses and phytochemical components of E. ulmoides, this study provides a scientific foundation for its application in modern medicine and identifies future research directions, particularly in the areas of bioactive compound isolation, pharmacological mechanisms, and clinical applications.This study is expected to promote the sustainable use and development of E. ulmoides in both traditional and modern medical systems.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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.
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 source (direct Gemma or distilled Codex), 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".