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Record W4412705685 · doi:10.47552/ijam.v16is2.6287

Ethanopharmacology, Pharmacognostic Exploration, Formulation and Evaluation of A Topical Gel Containing Euphorbia Hirta Linn Plant Extract

2025· article· en· W4412705685 on OpenAlexaff
Nikhil B Kamthe, Jayshree S Dalal, Ranjit S Katre, Shashank S Bobade, Dinesh S. Wanjari, Prasad Jumade

Bibliographic record

VenueInternational Journal of Ayurvedic Medicine · 2025
Typearticle
Languageen
FieldMedicine
TopicNatural Antidiabetic Agents Studies
Canadian institutionsInstitute of Aging
Fundersnot available
KeywordsEuphorbiaTraditional medicineChemistryMedicine

Abstract

fetched live from OpenAlex

The medicinal plant Euphorbia hirta Linn, commonly referred to as asthma weed or pill-bearing spurge, can be found across tropical and subtropical regions. Its bioactive elements, which include flavonoids, alkaloids, tannins, and saponins, have been accountable for its medicinal qualities and have been utilised in traditional medicine for quite a while. A wide range of pharmacological actions, including anti-inflammatory, antibacterial, antifungal, antioxidant, and antidiabetic properties, have been demonstrated for E. hirta. Because of its broncho-dilatory and expectorant qualities, studies have also shown that it may help with respiratory ailments like cough, bronchitis, and asthma. E. hirta exhibits promise in the treatment of gastrointestinal issues, skin ailments, and a number of inflammatory conditions in addition to respiratory health. In order to fully investigate E. hirta's medicinal potential, it is crucial to combine traditional knowledge with contemporary scientific study. To gain a greater understanding of the plant's significance in modern medicine. In the current investigation, the ethnopharmacological assessment of the plant has been conducted. The formulation and subsequent evaluation of a topical anti-inflammatory gel incorporating Euphorbia hirta Linn. extract has been performed.

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)0.002
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.562
Threshold uncertainty score0.396

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.002
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 head0.087
GPT teacher head0.427
Teacher spread0.340 · 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 designObservational
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

Citations0
Published2025
Admission routes1
Has abstractyes

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