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Prediction of herb–drug interaction between hyperforin and sedative hypnotics (zolpidem, alprazolam, and midazolam) using physiologically-based pharmacokinetic modeling

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Abstract

Background

This study investigates the interactions between various doses of hyperforin, a key compound in St. John’s Wort, and sedative hypnotics such as zolpidem, alprazolam, and midazolam. Since St John’s Wort is known to be an inducer of cytochrome P450 (CYP) 3A4, co-administration with drugs metabolized by CYP3A4 has been contraindicated.

Objective

We studied the risks of combination use and the possibility of safe combination by simulating the interaction of hyperforin, a key compound in St. John’s Wort, with drugs metabolized by CYP3A4 that can be used to relieve various symptoms of depression. Understanding these interactions is crucial for optimizing the treatment of depression and associated symptoms.

Results

The hyperforin physiologically based pharmacokinetic (PBPK) model was validated against clinical data, and PBPK models for zolpidem, alprazolam, and midazolam were used to predict herb–drug interactions. The simulations with a two-week co-administration scenario showed that hyperforin potentially acts as a weak inducer (hyperforin dose 2–20 mg, 3 times a day, AUC ratio 0.8–0.68) of 10 mg zolpidem metabolism, with sex-dependent interactions largely unaffected. However, the pharmacokinetics of alprazolam at doses of 0.25, 0.5, and 1 mg were minimally impacted (hyperforin dose 1–20 mg, 3 times a day, AUC ratio 0.96–0.87). In the case of 7.5 mg midazolam, hyperforin acted as a moderate to strong inducer (hyperforin dose 1–20 mg, 3 times a day, AUC ratio 0.26–0.20), even at low doses.

Conclusions

These findings emphasize the importance of careful monitoring and dose adjustments when using hyperforin and sedative hypnotics together. This study provided insights into co-administration of hyperforin and sedative hypnotics, facilitating the safe and effective use of these medications. Based on these results, it is necessary to know the possibility of safer drug combination, and to conduct clinical research and verification on this.

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Data availability

The datasets generated during and/or analysed during the current study are available from the corresponding author on reasonable request.

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Acknowledgements

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Funding

This research was supported by a grant of the Korea Health Technology R&D Project through the Korea Health Industry Development Institute (KHIDI), funded by the Ministry of Health & Welfare, Republic of Korea (number: HF20C0212). This work was supported by the National Research Foundation of Korea (NRF) grant funded by the Korea Government [MSIT] (RS-2023-00218419) (NRF-2022R1I1A3053818). This work was also supported by the research grant of the Gyeongsang National University in 2023.

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Contributions

AS, BJ, SC, YK, MSP, KIP, YWK and COK designed the study, AS and BJ performed the investigation, AS, BJ, SC and YK prepared the original draft for publication, AS, BJ, SC, YK, MSP, YWK and COK edited and reviewed the draft of the manuscript, KIP, YWK and COK contributed to funding acquisition. All authors have read and agreed to the published version of the manuscript.

Corresponding authors

Correspondence to Kwang-Il Park, Young Woo Kim or Choon Ok Kim.

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Conflict of interest

Anna Shin declares that she has no conflict of interest. Boyun Jang declares that she has no conflict of interest. Sunyoung Cho declares that she has no conflict of interest. Youngsoo Kim declares that he has no conflict of interest. Min Soo Park declares that he has no conflict of interest. Kwang-Il Park declares that he has no conflict of interest. Young Woo Kim declares that he has no conflict of interest. Choon Ok Kim declares that she has no conflict of interest.

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Shin, A., Jang, B., Cho, S. et al. Prediction of herb–drug interaction between hyperforin and sedative hypnotics (zolpidem, alprazolam, and midazolam) using physiologically-based pharmacokinetic modeling. Mol. Cell. Toxicol. 20, 431–439 (2024). https://doi.org/10.1007/s13273-024-00427-9

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