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Record W3033002538 · doi:10.12300/rrjopc.v3i3.433

Current Insight to the Uses of Rauwolfia: A Review

2019· review· en· W3033002538 on OpenAlexaboutno aff
Iswar Hazarika, Nitin Biradar, Vineeth Chandy

Bibliographic record

VenueResearch & Reviews A Journal of Pharmacognosy · 2019
Typereview
Languageen
FieldAgricultural and Biological Sciences
TopicEssential Oils and Antimicrobial Activity
Canadian institutionsnot available
Fundersnot available
KeywordsReserpineMedicineDepression (economics)Traditional medicineFolk medicineAdverse effectPharmacology

Abstract

fetched live from OpenAlex

Rauwolfia serpentina is an Indian medicinal plant and is a safe and effective treatment for poisonous reptiles. The plant was used by many physicians throughout India in the 1940s and then was used throughout the world in the 1950, including in the United States and Canada. It fell out of popularity when adverse side effects, including depression and cancer, become associated with it. In this review we focus on the use of Rauwolfia and treatment for many diseases, its botany, chemistry and mode of action with special emphasis on the plants role in treating high blood pressure and hypertension, and also critically examining its adverse side effects, toxicology and carcinogenicity. Keywords: Rauwolfia serpentina, Reserpine, Indole-Alkaloids, Potent, Antihypertensive, Herbal remedy, Medicinal plant Cite this Article Nitin Biradar, Iswar Hazarika, Vineeth Chandy. Current Insight to the Uses of Rauwolfia: A Review. Research & Reviews: A Journal of Pharmacognosy . 2016; 3(3): 1–4p.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.005
Threshold uncertainty score0.015

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.003
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0050.001

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.

Opus teacher head0.425
GPT teacher head0.520
Teacher spread0.095 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreReview

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

Citations7
Published2019
Admission routes1
Has abstractyes

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