Heuberger Jules A A C, Guan Zheng, Oyetayo Olubukayo-Opeyemi, Klumpers Linda, Morrison Paul D, Beumer Tim L, van Gerven Joop M A, Cohen Adam F, Freijer Jan
Centre for Human Drug Research, PK/PD, Leiden, The Netherlands,
Clin Pharmacokinet. 2015 Feb;54(2):209-19. doi: 10.1007/s40262-014-0195-5.
Δ(9)-Tetrahydrocannobinol (THC), the main psychoactive compound of Cannabis, is known to have a long terminal half-life. However, this characteristic is often ignored in pharmacokinetic (PK) studies of THC, which may affect the accuracy of predictions in different pharmacologic areas. For therapeutic use for example, it is important to accurately describe the terminal phase of THC to describe accumulation of the drug. In early clinical research, the THC challenge test can be optimized through more accurate predictions of the dosing sequence and the wash-out between occasions in a crossover setting, which is mainly determined by the terminal half-life of the compound. The purpose of this study is to better quantify the long-term pharmacokinetics of THC. A population-based PK model for THC was developed describing the profile up to 48 h after an oral, intravenous, and pulmonary dose of THC in humans. In contrast to earlier models, the current model integrates all three major administration routes and covers the long terminal phase of THC. Results show that THC has a fast initial and intermediate half-life, while the apparent terminal half-life is long (21.5 h), with a clearance of 38.8 L/h. Because the current model characterizes the long-term pharmacokinetics, it can be used to assess the accumulation of THC in a multiple-dose setting and to forecast concentration profiles of the drug under many different dosing regimens or administration routes. Additionally, this model could provide helpful insights into the THC challenge test used for the development of (novel) compounds targeting the cannabinoid system for different therapeutic applications and could improve decision making in future clinical trials.
Δ(9)-四氢大麻酚(THC)是大麻的主要精神活性成分,已知其具有较长的末端半衰期。然而,在THC的药代动力学(PK)研究中,这一特性常常被忽视,这可能会影响不同药理学领域预测的准确性。例如,对于治疗用途而言,准确描述THC的终末相以描述药物的蓄积情况非常重要。在早期临床研究中,通过在交叉试验设置中更准确地预测给药顺序和不同给药间隔之间的洗脱期(这主要由该化合物的末端半衰期决定),可以优化THC激发试验。本研究的目的是更好地量化THC的长期药代动力学。建立了一个基于人群的THC药代动力学模型,该模型描述了人类口服、静脉注射和肺部给药THC后长达48小时的药代动力学特征。与早期模型不同,当前模型整合了所有三种主要给药途径,并涵盖了THC的长终末相。结果表明,THC具有快速的初始半衰期和中间半衰期,而表观末端半衰期较长(21.5小时),清除率为38.8 L/h。由于当前模型表征了长期药代动力学,它可用于评估多剂量给药时THC的蓄积情况,并预测许多不同给药方案或给药途径下药物的浓度曲线。此外,该模型可为用于开发针对不同治疗应用的大麻素系统(新型)化合物的THC激发试验提供有用的见解,并可改善未来临床试验中的决策制定。