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Assessment of the incidence of substandard drugs in developing countries

Open access
Shakoor, O., Taylor, R. B., Behrens, R. H.·1997·Tropical Medicine & International Health

Abstract

In a number of developing countries there is reportedly a high incidence of the availability of substandard drugs. The majonty of these reports do not contain quantitative data to support these claims, nor do they describe the methodology employed for the quality assessment. Many assume counterfeiting as the reason for the poor quality and in some cases this is not justified. We collected 96 samples of chloroquine and selected antibacterials from Nigeria and Thailand in a controlled and methodical manner and analysed them using appropriately validated methods based on high‐performance liquid chromatography capable of detecting drug‐related impurities and quantifying active drug(s). The results indicate that 36.5% of the samples were substandard with respect to pharmacopoeial limits. Decomposition was the cause of poor quality in a number of the samples but overall, poor manufacturing appeared to be prevalent. The analyses generated little evidence to indicate fraudulent manufacturing. Treatment failure and drug‐resistance are possible consequences of the use of substandard drugs.

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Metadata

Authors
Shakoor, O., Taylor, R. B., & Behrens, R. H.
Venue
Tropical Medicine & International Health
Publisher
Wiley
Published
1997-09
Volume
2
Issue
9
Pages
839-845
ISSN
  • 1360-2276 (ISSN-L)
  • 1365-3156
OpenAlex
W1975685280
Cited by
228
References
0
FWCI
7.46
Type
journal article
Language
en
Open access
bronze

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CoChat. (2026). Citation check: Assessment of the incidence of substandard drugs in developing countries. https://app.cochat.ai/papers/10.1046/j.1365-3156.1997.d01-403.x
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Shakoor, O., Taylor, R. B., & Behrens, R. H. (1997). Assessment of the incidence of substandard drugs in developing countries. Tropical Medicine & International Health. https://doi.org/10.1046/j.1365-3156.1997.d01-403.x

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Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.