Several genes influence the pharmacokinetics and pharmacodynamics of THC. These include enzymes responsible for phase I and phase II metabolism, an endocannabinoid–hydrolyzing hydrolase, and proteins that modulate dopaminergic signalling. Genetic variants in these genes may alter enzyme activity or expression and thereby modify systemic exposure and central nervous system response to THC.
CYP2C9
CYP2C9 is a hepatic cytochrome P450 monooxygenase that catalyses the initial oxidation of Δ⁹-THC to 11-hydroxy-THC (active) and subsequently to 11-nor-9-carboxy-THC (inactive). It accounts for approximately 70 percent of Δ⁹-THC phase I clearance. Expression of CYP2C9is highest in liver with some expression in the intestinal mucosa.
As the major metabolic enzyme for THC, CYP2C9 is a key determinant of systemic exposure. It is therefore expected that genetic variation in CYP2C9 known to alter enzymatic activity will impact the pharmacokinetics of THC. Functional alleles *2 (rs1799853) and *3 (rs1057910) reduce CYP2C9 intrinsic clearance by 30–70%. Carriers of these alleles exhibit 1.5–3-fold higher area under the curve for Δ⁹-THC and 11-OH-THC, prolonged half life, and extended psychoactive effects Benak et al., 2024. Reduced clearance may magnify drug-drug interaction risk with CYP2C9 inhibitors such as fluconazole Rao et al., 2024.
FAAH
Fatty acid amide hydrolase (FAAH) is a membrane-associated serine hydrolase expressed in brain, liver and other tissues. It degrades endogenous cannabinoids such as anandamide and 2-arachidonoylglycerol. By controlling the steady-state concentration of these endocannabinoids at synapses, FAAH alters basal CB1 receptor occupancy and thus may modulate the pharmacodynamic response to exogenous Δ⁹-THC.
The hypomorphic C385A variant (rs324420) decreases FAAH enzyme activity, elevating baseline anandamide and 2-arachidonoylglycerol levels. C385A carriers report greater subjective reward, higher craving, and increased vulnerability to cannabis use disorder Altun et al., 2023.
AKT1
AKT1 is a ubiquitously expressed serine/threonine kinase activated downstream of dopamine D2 receptor engagement and growth factor signalling. In neurons of the ventral tegmental area and nucleus accumbens, AKT1 participates in regulation of synaptic plasticity and cell survival pathways. THC-induced CB1 activation indirectly modulates AKT1 phosphorylation status and thus alters downstream gene transcription and neuroplastic responses.
The AKT1 variant rs2494732 influences dopamine signalling downstream of D₂ receptor activation. Heavy cannabis users homozygous for the C allele have 2–3-fold higher odds of psychotic disorder, especially if use begins in adolescence Carvalho & Vieira-Coelho, 2022. C-allele carriers also exhibit greater acute psychotomimetic sensitivity after Δ⁹-THC exposure Di Forti et al., 2012.
Associations with AKT1 and risk of psychosis have been identified in case-control studies though are not definitive. Individuals who carry the C allele may be at higher risk though there is disagreement in the literature about the degree of risk.
COMT
Catechol-O-methyltransferase (COMT) is a cytosolic enzyme that methylates catecholamines, including dopamine. Predominantly expressed in prefrontal cortex and liver, COMT regulates extracellular dopamine clearance. Following THC-induced dopamine release in mesolimbic pathways, COMT activity determines duration and magnitude of dopaminergic signalling and thereby shapes behavioural and psychotropic effects.
The Val158Met missense variant (rs4680) alters COMT activity threefold. Val/Val individuals may experience larger Δ⁹-THC-induced dopamine surges and earlier onset of psychotic-like symptoms induced by THC, although meta-analyses report inconsistent effect sizes Kennedy et al., 2018 Fischer et al., 2023. Similar to the AKT1 variant, the Val158Met variant has been associated with risk of psychosis in case-control studies though the evidence is not definitive.
Together these proteins constitute mechanistic nodes at which genetic variation can modulate Δ⁹-THC exposure, receptor engagement and downstream signalling. Current evidence supports a probabilistic rather than deterministic contribution of these variants. Effect sizes vary across cohorts, underscoring the need for replication in larger, ancestry-diverse populations.