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Helichrysum nudifolium (L.) Less.: Review of its Medicinal Uses, Phytochemistry and Biological Activities

2019· article· en· W3209168998 on OpenAlexvenueno aff
Alfred Maroyi

Bibliographic record

VenueJournal of Pharmacy and Nutrition Sciences · 2019
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicEthnobotanical and Medicinal Plants Studies
Canadian institutionsnot available
FundersUniversity of Fort HareNational Research Foundation
KeywordsPhytochemistryAntimycobacterialWeb of scienceTraditional medicineAntifungalAntiprotozoalMedicinePharmacologyBiologyMicrobiologyIn vitroInternal medicine

Abstract

fetched live from OpenAlex

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.

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 distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.504
Threshold uncertainty score0.167

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.084
GPT teacher head0.335
Teacher spread0.250 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

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

Citations4
Published2019
Admission routes1
Has abstractyes

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