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Record W4407789520 · doi:10.1002/cbdv.202403067

Chemical Components of the Dried Latex of <i>Euphorbia resinifera</i> Berg and Its Medicinal Features

2025· review· en· W4407789520 on OpenAlexaff
Doaa M. Hammad, Salha Hamri, Abderrafia Hafid, Mostafà Khouili, María Dolors Pujol

Bibliographic record

VenueChemistry & Biodiversity · 2025
Typereview
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicBioactive Natural Diterpenoids Research
Canadian institutionsUniversité de MontréalCentre Hospitalier de l’Université de Montréal
Fundersnot available
KeywordsEuphorbiaChemistryTraditional medicineEuphorbiaceaeBotanyBiologyMedicine

Abstract

fetched live from OpenAlex

A great deal of research has been carried out on the latex of Euphorbia resinifera Berg, which is an important source of several compounds of therapeutic and medicinal interest. Extraction, synthesis, and hemi synthesis pathways continue to reveal the existence of other new products with anticancer, antioxidant, antidiuretic, and antimalarial effects. Despite the huge number of existing drugs, plants are still used mainly as a treatment for pain and as a source of inspiration for new drugs. In this study, the different components of the dried latex of this plant and their effects on human health have been studied. It should be noted that resiniferatoxin, with a pain-relieving activity superior to capsaicin, has proven to be effective for the treatment of osteoarthritis, a painful disease with no specific treatment.

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)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.003
Threshold uncertainty score0.008

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.001

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 head0.024
GPT teacher head0.297
Teacher spread0.274 · 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 designBench or experimental
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

Citations1
Published2025
Admission routes1
Has abstractyes

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