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The DOI matches its Crossref record; 10 of the 10 references it cites were found in a registry or an index.

Global Synthesis and Critical Evaluation of Pharmaceutical Data Sets Collected from River Systems

Open access
Hughes, Stephen R., Kay, Paul, Brown, Lee E.·2013·Environmental Science & Technology

Abstract

Pharmaceuticals have emerged as a major group of environmental contaminants over the past decade but relatively little is known about their occurrence in freshwaters compared to other pollutants. We present a global-scale analysis of the presence of 203 pharmaceuticals across 41 countries and show that contamination is extensive due to widespread consumption and subsequent disposal to rivers. There are clear regional biases in current understanding with little work outside North America, Europe, and China, and no work within Africa. Within individual countries, research is biased around a small number of populated provinces/states and the majority of research effort has focused upon just 14 compounds. Most research has adopted sampling techniques that are unlikely to provide reliable and representative data. This analysis highlights locations where concentrations of antibiotics, cardiovascular drugs, painkillers, contrast media, and antiepileptic drugs have been recorded well above thresholds known to cause toxic effects in aquatic biota. Studies of pharmaceutical occurrence and effects need to be seen as a global research priority due to increasing consumption, particularly among societies with aging populations. Researchers in all fields of environmental management need to work together more effectively to identify high risk compounds, improve the reliability and coverage of future monitoring studies, and develop new mitigation measures.

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Crossref · 10.1021/es3030148

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Metadata

Authors
Hughes, S. R., Kay, P., & Brown, L. E.
Venue
Environmental Science & Technology
Published
2012-12-20
Volume
47
Issue
2
Pages
661-677
ISSN
  • 0013-936X (ISSN-L)
  • 1520-5851
OpenAlex
W2104105182
Cited by
779
References
10
FWCI
21.15
Type
journal article
Language
en
Open access
hybrid

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

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