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A physiologically based pharmacokinetic modelling approach to predict buprenorphine pharmacokinetics following intravenous and sublingual administration

机译:基于生理学的药代动力学建模方法可预测静脉和舌下给药后丁丙诺啡的药代动力学

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摘要

AimsOpioid dependence is associated with high morbidity and mortality. Buprenorphine (BUP) is approved by the Food and Drug Administration to treat opioid dependence. There is a lack of clear consensus on the appropriate dosing of BUP due to interpatient physiological differences in absorption/disposition, subjective response assessment and other patient comorbidities. The objective of the present study was to build and validate robust physiologically based pharmacokinetic (PBPK) models for intravenous (IV) and sublingual (SL) BUP as a first step to optimizing BUP pharmacotherapy.
机译:阿片类药物依赖性与高发病率和高死亡率有关。丁丙诺啡(BUP)已获得美国食品药物管理局(FDA)的批准,可用于治疗阿片类药物依赖性。由于患者之间吸收/处置,主观反应评估和其他患者合并症的生理差异,在BUP的适当剂量方面尚无明确共识。本研究的目的是建立和验证用于静脉内(IV)和舌下(SL)BUP的稳健的基于生理学的药代动力学(PBPK)模型,作为优化BUP药物治疗的第一步。

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