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Centrapalus pauciflorus: Review of its Medicinal uses, Phytochemistry and Pharmacological Properties

2020· article· en· W3206178577 on OpenAlexvenueno aff
Alfred Maroyi

Bibliographic record

VenueJournal of Pharmacy and Nutrition Sciences · 2020
Typearticle
Languageen
FieldMedicine
TopicMedicinal Plants and Neuroprotection
Canadian institutionsnot available
Fundersnot available
KeywordsPhytochemistryPhytochemicalAntimicrobialTraditional medicineTerpenoidTerpeneGlycosideBiologyChemistryMedicineBotanyBiochemistryOrganic chemistry

Abstract

fetched live from OpenAlex

Centrapalus pauciflorus is a herbaceous plant that is used as a traditional medicine and a source of epoxidised oil. This study is aimed at providing a critical review of the pharmacological properties, phytochemistry and medicinal uses of C. pauciflorus. Documented information on the pharmacological properties, phytochemistry and medicinal uses of C. pauciflorus was collected from several online sources, which included Scopus, Google Scholar, PubMed and Science Direct, and pre-electronic sources such as scientific publications, these, books, dissertations, book chapters and journal articles. This study showed that the leaves and epoxidised oil of C. pauciflorus are used as traditional medicines for external injury, wounds, diabetes, chest pains, eye infections, stomach problems and skin infections. Phytochemical compounds identified from the species include coumarins, essential oils, fatty acids, flavonol glycosides, phenolic acids, sterols, sesquiterpene lactones, triterpenoids, alkaloids, cardiac glycosides, carotenoids, flavonoids, polyuronoids, saponins, steroids, tannins and terpenoids. Pharmacological research revealed that C. pauciflorus extracts and compounds isolated from the species have analgesic, anti-dermatitis, antimicrobial, antiulcerogenic, hypoglycemic, insecticide, larvicidal and sedative activities. Centrapalus pauciflorus should be subjected to detailed phytochemical, pharmacological and toxicological evaluations aimed at correlating its medicinal uses with its phytochemistry and pharmacological activities.

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)0.000
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 score0.049
Threshold uncertainty score0.191

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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 head0.141
GPT teacher head0.369
Teacher spread0.228 · 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

Citations5
Published2020
Admission routes1
Has abstractyes

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