Evidence map›Paper›PMID 42381165›Full record

ReviewFly2026

Insect-based models in pharmaceutical ecotoxicology: a bibliometric and narrative review.

Jumriani Jumriani, Ratnawati Ratnawati, Youdiil Ophinni, Emil Salim, Firzan Nainu

Abstract readReview
In one paragraph

Review in Fly, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Jumriani JumrianiFaculty of Pharmacy, Hasanuddin University, Makassar, Indonesia.
Ratnawati RatnawatiFaculty of Pharmacy, Hasanuddin University, Makassar, Indonesia.
Youdiil OphinniThe Hakubi Center for Advanced Research, Kyoto University, Kyoto, Japan.
Emil SalimDepartment of Pharmacology and Clinical/Community Pharmacy, Faculty of Pharmacy, Universitas Sumatera Utara, Medan, Indonesia.
Firzan NainuDepartment of Pharmacy, Faculty of Pharmacy, Hasanuddin University, Makassar, Indonesia.ORCID 0000-0003-0989-4023

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Pharmaceutical waste has been recognized as an emerging contaminant that is increasingly detected in the environment and may pose ecotoxicological risks. This review aims to describe the global development of research on pharmaceutical waste within the field of ecotoxicology and to examine the role of insects in trophic food-chain exposure pathways. A bibliometric analysis was conducted using the Scopus database, comprising 1,051 articles published between 2010 and 2025. The results show a consistent upward trend in publications, with pharmaceutical ecotoxicology research predominantly focused on aquatic environments, environmental risk assessment, contaminant monitoring, and toxicological evaluation. Keyword analysis further indicates that terrestrial exposure pathways remain comparatively less emphasized within the current bibliometric landscape. The narrative review indicates that pharmaceutical waste can accumulate in organisms and be transferred through the food chain, leading to various physiological and systemic toxic effects, even at low environmental concentrations. In this context, insects play a strategic role as mediators of trophic exposure.

Indexed as

EcotoxicologyEnvironmental PollutantsInsectaAnimalsBibliometricsDrosophila melanogasterFood ChainPharmaceutical PreparationsEnvironmental PollutantsPharmaceutical PreparationsDrosophila melanogasterecotoxicologyHermetia illucensinsectsPharmaceutical wastetrophic transfer

Identifiers

PMID42381165
PMCPMC13336261

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.