Helichrysum nudifolium (L.) Less.: Review of its Medicinal Uses, Phytochemistry and Biological Activities
Bibliographic record
Abstract
Helichrysum nudifolium is a valuable and well-known medicinal plant species in southern Africa. The current study critically reviewed the medicinal uses, phytochemistry and biological activities of H. nudifolium. Information on medicinal uses, phytochemistry and biological activities of H. nudifolium was collected from multiple internet sources which included Scopus, Google Scholar, Elsevier, Science Direct, Web of Science, Pubmed, SciFinder and BMC. Additional information was gathered from pre-electronic sources such as journal articles, scientific reports, theses, books and book chapters obtained from the University library. This study showed that H. nudifolium is mainly used as ethnoveterinary medicine, as colic and herbal medicine for fever, headache, swellings, infertility, pregnancy and postpartum problems. Pharmacological research revealed that H. nudifolium extracts have antibacterial, antimycobacterial, antifungal, anti-HIV, GABAA-benzodiazepine receptor-binding, anticancer, anti-inflammatory, antiplasmodial, antiprotozoal and cytotoxicity activities. There is need for experimental animal studies, randomized clinical trials and target-organ toxicity studies involving H. nudifolium crude extracts and compounds isolated from the species. Future should also focus on evaluation of pharmacological properties of compounds isolated from H. nudifolium.
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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 | 0.000 |
| 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 | 0.000 |
| 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".