Citation

Zhou S, Chan E, Li SC, Huang M, Chen X, Li X, Zhang Q, Paxton JW. Drug Metabol. Drug Interact. 2004; 20(3): 143-158.

Affiliation

Department of Pharmacy, Faculty of Science, National University of Singapore, Singapore. phazsf@nus.edu.sg

Copyright

(Copyright © 2004, Walter de Gruyter)

DOI

unavailable

PMID

15508430

Abstract

In vitro and in vivo studies have indicated that the induction or inhibition of cytochrome P450 (CYP) is one of the major mechanisms for some clinically important pharmacokinetic herb-drug interactions. Thus, an attempt was made to predict pharmacokinetic herb-drug interactions using the pharmacokinetic principles that are used for predicting drug-drug interactions. The expected AUC ratio was mainly dependent on unbound herbal inhibitor concentration ([I]) and inhibition constant (Ki), hepatic fraction (fh), number of inhibitory herbal constituents (n) and metabolic pathway fraction in hepatic metabolism (fm). Herb-drug interactions would be with low risk if sigma(i=1)n [[Ii]/Ki(i)] is less than 0.1, medium risk if it is between 0.1 and 1.0, and high risk if it is greater than 1. For high clearance drugs, the change of fh x fm had minor influence on AUC ratio when sigma(i=1)n [[Ii]/Ki(i)] values were fixed. Similarly, fm did not affect the AUC ratio for low clearance drugs. It appeared likely to predict a herb-drug metabolic interaction when [I], Ki, fh, fm and n could be determined. However, many herb- and drug-related factors may cause difficulties with the prediction, and well-designed human studies are always necessary.

Language: en