Prediction of herb-drug metabolic interactions: A simulation study

Zhou, S, Huang, M, Xu, A, Yang, H, Duan, W and Paxton, J 2005, 'Prediction of herb-drug metabolic interactions: A simulation study', Phytotherapy Research, vol. 19, no. 6, pp. 464-471.

Document type: Journal Article
Collection: Journal Articles

Title Prediction of herb-drug metabolic interactions: A simulation study
Author(s) Zhou, S
Huang, M
Xu, A
Yang, H
Duan, W
Paxton, J
Year 2005
Journal name Phytotherapy Research
Volume number 19
Issue number 6
Start page 464
End page 471
Total pages 8
Publisher John Wiley & Sons Ltd.
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. An attempt was made to simulate the effects of herbal preparation with single or multiple CYP-inhibiting constituents on the area of the plasma concentration-time curve (AUC) of coadministered drug that was either a low clearance drug by intravenous (i.v.) injection or a high clearance drug by oral route. Our simulation studies indicated that the expected increase (Rc) in the AUC of the coadministered drug by inhibiting herbal constituent(s) was dependent on the route of administration. For low clearance drug by i.v. injection, Rc was generally determined by inhibition constant (Ki), unbound inhibitor concentration ([I]), hepatic fraction (fm), number of inhibitory herbal constituents (n) and metabolic pathway fraction in hepatic metabolism (fm), while R1 for a high clearance drug by oral route, Rc was determined by Ki, [I], n and fm. By varying these parameters, Rc changed accordingly. It appeared likely to predict a herb-drug metabolic interaction, if the inhibiting herbal constituents could be quantitatively determined. However, many herb- and drug-related factors may cause difficulties with the prediction, and thus in vivo animal and human studies are always necessary.
DOI - identifier 10.1002/ptr.1559
ISSN 0951-418X
Version Filter Type
Citation counts: Scopus Citation Count Cited 14 times in Scopus Article | Citations
Altmetric details:
Access Statistics: 164 Abstract Views  -  Detailed Statistics
Created: Mon, 06 Dec 2010, 14:11:00 EST by Catalyst Administrator
© 2014 RMIT Research Repository • Powered by Fez SoftwareContact us