Accurate prediction of human drug toxicity: a major challenge in drug development

Chem Biol Interact. 2004 Nov 1;150(1):3-7. doi: 10.1016/j.cbi.2004.09.008.

Abstract

Over the past decades, a number of drugs have been withdrawn or have required special labeling due to adverse effects observed post-marketing. Species differences in drug toxicity in preclinical safety tests and the lack of sensitive biomarkers and nonrepresentative patient population in clinical trials are probable reasons for the failures in predicting human drug toxicity. It is proposed that toxicology should evolve from an empirical practice to an investigative discipline. Accurate prediction of human drug toxicity requires resources and time to be spent in clearly defining key toxic pathways and corresponding risk factors, which hopefully, will be compensated by the benefits of a lower percentage of clinical failure due to toxicity and a decreased frequency of market withdrawal due to unacceptable adverse drug effects.

MeSH terms

  • Clinical Trials as Topic / standards
  • Drug Industry / trends*
  • Humans
  • Reproducibility of Results
  • Toxicology / standards*