Physiologically based pharmacokinetic model predictions of natural product-drug interactions between goldenseal, berberine, imatinib and bosutinib
Abstract
Purpose This study implements a physiologically based pharmacokinetic (PBPK) modelling approach to predict the effect of hydrastine and berberine, two major alkaloids present in goldenseal extract, on pharmacokinetics of imatinib and bosutinib.Methods PBPK models of hydrastine and berberine were developed in the Simcyp Simulator (version 17), integrating prior in vitro knowledge and published clinical pharmacokinetic data. The models account for reversible and irreversible (mechanism-based) inhibition of CYP3A enzymes as well as inhibition of the P-glycoprotein transporter. Inhibitory potencies of hydrastine and berberine on imatinib and bosutinib were estimated based on in vitro inhibition of metabolite formation.Results The PBPK models provided reliable estimates on the magnitude of interactions due to co-administration of goldenseal extract or high-dose berberine on substrates of CYP3A enzymes (midazolam, indinavir and cyclosporine) and P-glycoprotein (digoxin). PBPK simulations predicted a moderate twofold increase (5 th to 95 th percentiles of prediction of 1.4-3.1) in systemic exposure (AUC) of bosutinib when co-administered with clinically relevant doses of goldenseal extract. A high dose of berberine (300 mg thrice daily) was also expected to affect bosutinib exposure, albeit to a lesser extent than that predicted with goldenseal (AUC ratio of 1.3, 5 th to 95 th percentile: 1.1-1.6). Conversely, the corresponding effects on imatinib exposure are unlikely to be of clinical importance (predicted AUC ratios of 1.0-1.2).Conclusion PBPK model-based predictions highlighted potential clinically significant interactions between goldenseal extract and bosutinib, but not imatinib. Dose adjustment may need to be considered if co-administration is desirable. These findings should be confirmed with optimally designed controlled drug interaction studies.
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Physiologically based pharmacokinetic models predict increased exposure to CYP3A substrates such as imatinib in the presence of goldenseal alkaloids.
“Physiologically based pharmacokinetic models also predict increased exposure to CYP3A substrates such as imatinib in the presence of goldenseal alkaloids [63].”
From Berberine-Drug Interactions: Mechanisms, Clinical Relevance and Risk Stratification-A Narrative Review (2026) · cites this paper as [63]
Controlled clinical pharmacokinetic studies in humans are lacking for the berberine-victim-drug pairs at the highest theoretical risk, such as tacrolimus, warfarin and QT-prolonging substrates.
“Controlled clinical pharmacokinetic studies in humans are lacking for the berberine–victim-drug pairs at the highest theoretical risk, such as tacrolimus, warfarin and QT-prolonging substrates [39,63].”
From Berberine-Drug Interactions: Mechanisms, Clinical Relevance and Risk Stratification-A Narrative Review (2026) · cites this paper as [63]
The translational gap is constitutive of the field: in vitro concentrations that produce inhibition exceed human plasma concentrations by two to four orders of magnitude; local concentrations that would bridge the gap have been calculated but not measured in humans; PBPK models that would connect the two have not been validated against clinical data for berberine; and the human endpoints available
“The in vitro concentrations that produce inhibition exceed human plasma concentrations by two to four orders of magnitude, as Section 2.1 sets out; the local concentrations that would bridge the gap have been calculated but not measured in humans; the PBPK models that would connect the two have not been validated against clinical data for berberine; and the human endpoints available are surrogates”
From Berberine-Drug Interactions: Mechanisms, Clinical Relevance and Risk Stratification-A Narrative Review (2026) · cites this paper as [63]
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References 73 · Cited by 14
- Authors
- Adiwidjaja, J., Boddy, A. V., & McLachlan, A. J.
- Affiliations
- The University of Sydney (AU)
- University of South Australia (AU)
- Corresponding author
- Adiwidjaja, Jeffry
- Venue
- European Journal of Clinical Pharmacology
- Published
- 2022-01-20
- Volume
- 78
- Issue
- 4
- Pages
- 597-611
- ISSN
- 0031-6970 (ISSN-L)
- 1432-1041
- OpenAlex
- W4205439663
- Cited by
- 14
- References
- 73
- Citations by year
- 2026: 3 · 2025: 3 · 2024: 4 · 2023: 3 · 2022: 1
- FWCI
- 2.51
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- European Journal of Clinical Pharmacology (publishedVersion)
- PubMed (publishedVersion)
- UniSA Research Outputs Repository (University of South Australia) (submittedVersion)
- Topics
- Life Sciences › Pharmacology, Toxicology and Pharmaceutics › Pharmacology › Pharmacogenetics and Drug Metabolism
- Health Sciences › Medicine › Oncology › Drug Transport and Resistance Mechanisms
- Health Sciences › Medicine › Complementary and alternative medicine › Complementary and Alternative Medicine Studies
- Keywords
- berberine, hydrastine, imatinib, bosutinib, drug-drug interactions, CYP3A inhibition, P-glycoprotein inhibition, mechanism-based inhibition, alkaloids, indinavir, cyclosporine, digoxin
- MeSH terms
- Imatinib Mesylate, Aniline Compounds, Berberine, Biological Products, Drug Interactions, Humans, Models, Biological, Nitriles, Quinolines, Hydrastis, Cytochrome P-450 CYP3A
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