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Quantitative prediction and clinical evaluation of an unexplored herb–drug interaction mechanism in healthy volunteers
- Source :
- CPT: Pharmacometrics & Systems Pharmacology
- Publication Year :
- 2015
- Publisher :
- John Wiley and Sons Inc., 2015.
-
Abstract
- Quantitative prediction of herb-drug interaction risk remains challenging. A quantitative framework to assess a potential interaction was used to evaluate a mechanism not previously tested in humans. The semipurified milk thistle product, silibinin, was selected as an exemplar herbal product inhibitor of raloxifene intestinal glucuronidation. Physiologically based pharmacokinetic (PBPK) model simulations of the silibinin-raloxifene interaction predicted up to 30% increases in raloxifene area under the curve (AUC0-inf) and maximal concentration (Cmax). Model-informed clinical evaluation of the silibinin-raloxifene interaction indicated minimal clinical interaction liability, with observed geometric mean raloxifene AUC0-inf and Cmax ratios lying within the predefined no effect range (0.75-1.33). Further refinement of PBPK modeling and simulation approaches will enhance confidence in predictions and facilitate generalizability to additional herb-drug combinations. This quantitative framework can be used to develop guidances to evaluate potential herb-drug interactions prospectively, providing evidenced-based information about the risk or safety of these interactions.
- Subjects :
- Physiologically based pharmacokinetic modelling
Mechanism (biology)
business.industry
Cmax
Area under the curve
Silibinin
Original Articles
Pharmacology
030226 pharmacology & pharmacy
03 medical and health sciences
chemistry.chemical_compound
0302 clinical medicine
Pharmacokinetics
chemistry
030220 oncology & carcinogenesis
Modeling and Simulation
medicine
Pharmacology (medical)
Raloxifene
Generalizability theory
Original Article
business
medicine.drug
Subjects
Details
- Language :
- English
- ISSN :
- 21638306
- Volume :
- 4
- Issue :
- 12
- Database :
- OpenAIRE
- Journal :
- CPT: Pharmacometrics & Systems Pharmacology
- Accession number :
- edsair.doi.dedup.....bda960c2a285fd32e6d3f36306d803cb