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Record W4414248862 · doi:10.3390/metabo15090614

Ethnomedicinal Applications, Phytochemistry, and Pharmacological Properties of Zanthoxylum caribaeum Lam.: A Comprehensive Review

2025· review· en· W4414248862 on OpenAlexfundno aff
Ahissan Innocent Adou, Ebed Fleurima, Valendy Thesnor, A. Urrutia, Alain Fournet, Marie-Noëlle Sylvestre, Muriel Sylvestre, Zohra Benfodda, Gerardo Cebrián‐Torrejón

Bibliographic record

VenueMetabolites · 2025
Typereview
Languageen
FieldAgricultural and Biological Sciences
TopicPlant chemical constituents analysis
Canadian institutionsnot available
FundersInterregMinistère de l'Enseignement Supérieur et de la Recherche ScientifiqueMinistère de l'Enseignement Supérieur et de la RechercheAgence Universitaire de la Francophonie
KeywordsRutaceaeZanthoxylumChemical constituentsAction (physics)Medicinal plants

Abstract

fetched live from OpenAlex

Zanthoxylum caribaeum Lam. is a member of the Rutaceae Family that can be naturally found in South and central America (Brazil, Paraguay, Bolivia, Caribbean, etc.). Its traditional medicinal uses are well documented among native communities, such as that of the Guarani, in Paraguay. More than 60 metabolites, including alkaloids, terpenoids, coumarins, and alkylamides, have been identified in its leaves, bark, and fruits. The biological activities and mechanisms of action of several of these compounds, as well as those of crude extracts, have also been investigated by previous studies. As a medicinal and edible plant, Z. caribaeum shows promising applications in the pharmacological industry. For the last 25 years, a significant amount of research has been conducted with Z. caribaeum to better understand its toxicity and complex mechanisms of action, bringing science-based clinical safety to its traditional uses. This review integrates available knowledge chemical and biological data on this species. It emphasizes the diversity of bioactive metabolites, their associated bioactivities, and provides an updated overview of the plant’s advances in ethnopharmacology, phytochemistry, pharmacology, agricultural exploitation, and potential utilization.

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: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.981
Threshold uncertainty score0.489

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.058
GPT teacher head0.314
Teacher spread0.256 · 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 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

Citations1
Published2025
Admission routes1
Has abstractyes

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