RT Journal Article SR Electronic T1 Predicting the potential for cannabinoids to precipitate pharmacokinetic drug interactions via reversible inhibition or inactivation of major cytochromes P450 JF Drug Metabolism and Disposition JO Drug Metab Dispos FD American Society for Pharmacology and Experimental Therapeutics SP DMD-AR-2020-000073 DO 10.1124/dmd.120.000073 A1 Sumit Bansal A1 Neha Maharao A1 Mary F. Paine A1 Jashvant D. Unadkat YR 2020 UL http://dmd.aspetjournals.org/content/early/2020/06/25/dmd.120.000073.abstract AB Cannabis is used for both recreational and medicinal purposes. The most abundant constituents are the cannabinoids - cannabidiol (CBD, non-psychoactive) and (−)-trans-Δ⁹-tetrahydrocannabinol (THC, psychoactive). Both have been reported to reversibly inhibit or inactivate cytochrome P450 (CYP) enzymes. However, the low aqueous solubility, microsomal protein binding, and non-specific binding to labware were not considered, potentially leading to an underestimation of CYP inhibition potency. Therefore, the binding-corrected reversible (IC50,u)and irreversible (KI,u) inhibition potency of each cannabinoid towards major CYPs were determined. The fraction unbound of CBD and THC in the incubation mixture was 0.12 {plus minus} 0.04 and 0.05 {plus minus} 0.02, respectively. The IC50,u for CBD towards CYPs 1A2, 2C9, 2C19, 2D6, and 3A was 0.45 {plus minus} 0.17, 0.17 {plus minus} 0.03, 0.30 {plus minus} 0.06, 0.95 {plus minus} 0.50, and 0.38 {plus minus} 0.11 µM, respectively; the IC50,u for THC was 0.06 {plus minus} 0.02, 0.012 {plus minus} 0.001, 0.57 {plus minus} 0.22, 1.28 {plus minus} 0.25, and 1.30 {plus minus} 0.34 µM, respectively. Only CBD showed time-dependent inactivation (TDI) of CYPs 1A2, 2C19, and CYP3A, with inactivation efficiencies (kinact/KI,u) of 0.70 {plus minus} 0.34, 0.11 {plus minus} 0.06, and 0.14 {plus minus} 0.04 min-1µM-1, respectively. A combined (reversible inhibition and TDI) mechanistic static model populated with these data predicted a moderate to strong pharmacokinetic interaction risk between orally administered CBD and drugs extensively metabolized by CYP1A2/2C9/2C19/2D6/3A and between orally administered THC and drugs extensively metabolized by CYP1A2/2C9/3A. These predictions will be extended to a dynamic model using physiologically-based pharmacokinetic modeling and simulation and verified with a well-designed clinical cannabinoid-drug interaction study.