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Review
. 2025 Aug 13.
doi: 10.1007/s40262-025-01559-4. Online ahead of print.

Double Peaking Phenomena in Pharmacokinetic Disposition Revisited

Affiliations
Review

Double Peaking Phenomena in Pharmacokinetic Disposition Revisited

Malaz Yousef et al. Clin Pharmacokinet. .

Abstract

Multiple peaking in pharmacokinetics refers to the occurrence of two or more peaks of drug plasma concentrations following a single dose administration. It complicates interpretation of pharmacokinetics parameters and influences clinical decision-making regarding drug efficacy and bioequivalence. This review re-examines and extends an earlier seminal review on the physicochemical and formulation-related causes and physiological mechanisms of multiple peaking. In addition to the previously discussed mechanisms, factors such as lymphatic drug uptake, enterogastric recycling, hepatoenteric recycling, dual absorption pathways, overdose scenarios, and pharmacobezoar formation have also been identified as contributors to the multiple peaking phenomenon. Furthermore, the role of specialized formulations, particularly pulsatile drug delivery systems (PDDS), has been explored in relation to their impact on this complex pharmacokinetics behavior. Moreover, this review highlights advanced modeling tools, namely physiologically based pharmacokinetic modeling (PBPK), illustrating how they can be applied to decipher complex absorption profiles, and highlights bioequivalence considerations for products exhibiting multiple peaks, such as partial area under the curve (pAUC). Improved identification and modeling of this phenomenon is critical to optimizing drug development, therapeutic monitoring, precision dosing, and regulatory decision-making.

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Conflict of interest statement

Declarations. Funding: This research was funded by MITACS Accelerate Internship (IT40698). It is important to note that the opinions, interpretations, and conclusions presented in this study are solely those of the authors and do not necessarily reflect the views of the funding agency. Conflicts of interest: The authors declare no conflict of interest. Availability of data and material: Not applicable. Ethics approval: Not applicable. Consent to participate: Not applicable. Consent for publication: Not applicable. Code availability: Not applicable. Author contributions: Malaz Yousef: conceptualization, visualization, writing—original draft, and writing—review and editing. Dion R. Brocks: conceptualization, writing—original draft, and writing—review and editing. Raimar Löbenberg: conceptualization, project administration, supervision, writing—original draft, and writing—review and editing. Neal M. Davies: conceptualization, visualization, project administration, supervision, writing—original draft, and writing—review and editing. All authors have read and approved the final version of this work. Statement: During the preparation of this work the authors utilized Grammarly and ChatGPT 4.0 and ChatGPT 4.5 to improve the writing quality. After using this tool, the authors reviewed and edited the content as needed and take full responsibility for the content of the publication.

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