Evidence map›Paper›PMID 42564438›Full record

ArticleFrontiers in pharmacology2026

Pharmaceutical wastewater irrigation and metabolite-based environmental pharmacognosy: a perspective on quality and safety risks for medicinal plants.

Edith O Diovu, Charles O Nnadi, Ugwu Okechukwu Paul-Chima

Abstract read
In one paragraph

Article in Frontiers in pharmacology, 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
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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

3 authors.

Edith O DiovuDepartment of Pharmacognosy and Environmental Medicine, Faculty of Pharmaceutical Sciences, University of Nigeria Nsukka, Nsukka, Enugu, Nigeria.
Charles O NnadiDepartment of Pharmaceutical and Medicinal Chemistry, Faculty of Pharmaceutical Sciences, University of Nigeria Nsukka, Nsukka, Enugu, Nigeria.
Ugwu Okechukwu Paul-ChimaDepartment of Research and Publication, Kampala International University, Kampala, Uganda.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Medicinal plants are increasingly cultivated in agroecosystems irrigated with treated or untreated wastewater, biosolids and contaminated surface water. Pharmaceutical residues are recognised contaminants of emerging concern, but their implications for botanical-drug quality, therapeutic consistency and safety remain insufficiently characterised. This Perspective argues that pharmaceutical wastewater irrigation is a plausible yet underexamined driver of metabolite reprogramming in medicinal plants. Chronic exposure to antibiotics, non-steroidal anti-inflammatory drugs, antiepileptics, antidepressants, hormones and transformation products may alter secondary metabolism through oxidative stress, xenobiotic detoxification, rhizosphere microbiome disturbance and modified nutrient signalling. These processes may change phenolic, flavonoid, alkaloid, terpenoid, glycoside and volatile metabolites that underpin pharmacognostic quality and ethnopharmacological reliability. Medicinal plants may also accumulate parent pharmaceuticals, transformation products and, under some conditions, microbial signatures associated with antibiotic resistance. Building on Carter et al.'s source-pathway-receptor framework and Helmecke et al.'s regulatory risk synthesis, we shift attention from residue burden to how exposure history alters the medicinal metabolome. Evidence from antibiotic-induced metabolite changes in

Indexed as

botanical-drug safetycontaminants of emerging concernenvironmental pharmacognosymedicinal plantsmetabolite reprogrammingmetabolomicspharmaceutical wastewater

Identifiers

PMID42564438
PMCPMC13443310

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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.