Review of Medicinal Applications, Phytochemistry and Pharmacological Properties of Aristea ecklonii
Bibliographic record
Abstract
Background: Aristea ecklonii is a perennial herb widely used as herbal medicine in southern Africa. Plants used as traditional medicines to treat various human diseases and illnesses play an important role in the primary healthcare of local communities in developing countries.Purpose: The current study critically reviewed the medicinal uses, phytochemistry and pharmacological properties of A. ecklonii.Methods: Literature on medicinal uses, phytochemical and pharmacological properties of A. ecklonii was collected from multiple internet sources including Elsevier, Google Scholar, SciFinder, Web of Science, Pubmed, BMC, Science Direct, and Scopus. Additional information was also obtained from pre-electronic sources such as books, book chapters, theses, scientific reports and journal articles obtained from the university library.Results: This study revealed that A. ecklonii is used as an ornamental plant, protective charm, and herbal medicine for internal sores, cough, fever, syphilis, shingles, and venereal diseases. Ethnopharmacological research identified quinones and sterols from leaves and rhizomes of A. ecklonii. The crude extracts of A. ecklonii and the compound plumbagin isolated from the species exhibited antibacterial and antifungal activities.Conclusion: Aristea ecklonii should be subjected to detailed phytochemical, pharmacological, and toxicological evaluations aimed at correlating its medicinal uses with its phytochemistry and pharmacological properties.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 0.004 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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".