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Neglected ecological and health risks associated with the use of diclofenac in veterinary medicine: A mini-review

2023· article· en· W4385741005 on OpenAlexaboutno aff
Lilia Gutiérrez, Yazmín Alcalá-Canto, Aldo Alberti-Navarro, Lizbeth Carrillo González, Héctor Sumano López

Bibliographic record

VenueVeterinaria México OA · 2023
Typearticle
Languageen
FieldVeterinary
TopicVeterinary Pharmacology and Anesthesia
Canadian institutionsnot available
Fundersnot available
KeywordsLivestockGeographyLatin AmericansVulturePopulationVeterinary medicineSocioeconomicsTraditional medicineMedicineEnvironmental protectionEnvironmental healthBiologyEcologyPolitical scienceForestryLaw

Abstract

fetched live from OpenAlex

There is sufficient scientific evidence to support that residues of diclofenac, a non-steroidal anti-inflammatory drug (NSAID) administered to livestock raised in the open, can cause fatal renal crystallization in vultures' species, and perhaps other birds such as eagles, if treated animals enter the trophic chain. This phenomenon caused the population of vultures to decline sharply, on the brink of extinction, in India, Pakistan, Tibet, and many countries in the Middle East. For this reason, except for Spain, this medication has been prohibited for veterinary use in the rest of Europe, the United States of America, Canada, Japan, Australia, New Zealand, and many other countries. In contrast, in Latin America, diclofenac is available for veterinary use in various preparations alone or combined with antibacterial drugs. The precise impact this is generating on the native species of vultures and other birds that feed on animals that die in open pastures and are not incinerated is unknown. Given the nature of our livestock production via small producers and extensive farming, most animals medicated with this NSAID can enter the natural food chain and become part of the vulture diet. Most researchers who have studied this ecological problem have recommended that countries adhere to the precautionary principle of prohibiting its sale until there is concrete evidence of the magnitude of the damage that the permissive use of diclofenac in veterinary medicine may cause in Latin America. In Mexico, the official standard NOM-064-ZOO-2000, Lineamientos para la clasificación y prescripción de los productos farmacéuticos veterinarios por el nivel de riesgo de sus ingredientes activos, recommends incinerating animals treated with diclofenac, a command that does not fit our daily reality. The question is: shall Latin American countries remain inactive despite a hitherto invisible ecological disaster? Research in Latin America needs to be carried out that supports or rejects the possible impact of diclofenac on wild species, including vultures. However, many countries on the continent, including Mexico, have adhered to the 11th Declaration of Rio for Sustainable Development in the 21st century. Based on this, we propose that action should be taken without delay to avoid or limit an ecological disaster by banning diclofenac in veterinary medicine.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.712
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.332
GPT teacher head0.420
Teacher spread0.088 · 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.

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

Citations2
Published2023
Admission routes1
Has abstractyes

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