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PET imaging of FAAH in chronic Cannabis users: longitudinal assessment during short-term abstinence.

Claudia Poluga, S. S. Dheda, Nadia Boachie, Tina McCluskey, L. Narciso, M. Zilberman, C. Côté, Marilyn A. Huestis, Rachel F. Tyndale, Stefan Kloiber, Nathan J. Kolla, Pablo Rusjan, Bernard Le Foll, Jerry J. Warsh, Tony P. George, Isabelle Boileau

Neuropsychopharmacology May 9, 2026 DOI: 10.1038/s41386-026-02438-7 (opens in new tab)

Study at a glance

AI-extracted from the abstract
Characteristics Observational study (longitudinal PET imaging) Peer reviewed
Sample size 14
Population Adults with cannabis use disorder who completed two PET scans (17 enrolled before attrition)
Duration Two scans: after overnight abstinence (T1) and about 3-7 days after monitored last use (T2)
Measures [11C]CURB PET binding, rs324420 polymorphism, mood, cognition, withdrawal symptoms, craving
Topics Cannabis
Key findings Brain FAAH binding increased from overnight abstinence to about 3-7 days after last cannabis use (whole-brain change about 10%, p=0.003; ventral striatum 11%, p=0.026). Larger increases were associated with longer abstinence, greater baseline depression severity, and a tendency to act without thinking. The authors propose FAAH may contribute to the neurobiological response to short-term abstinence and could be a treatment target.

Abstract

Cannabis withdrawal in cannabis use disorder (CUD) increase the risk of relapse and lacks effective treatments. The endocannabinoid enzyme fatty acid amide hydrolase (FAAH) may influence cannabis use and withdrawal, but the relationship between FAAH levels and withdrawal symptoms remains unclear. This study aims to investigate changes in FAAH levels during short-term abstinence from cannabis and their relationship with withdrawal symptoms. FAAH levels were measured in whole-brain regions of interest using positron emission tomography (PET) with the FAAH-specific probe [11C]CURB. An irreversible two-tissue compartment model determined [11C]CURB binding. Participants with CUD were scanned once after overnight abstinence (T1) and ~3-7 days after monitored last use (T2). FAAH polymorphism (rs324420) was determined from blood samples, and mood, cognition, withdrawal symptoms, and craving were assessed. In a sample of 14 participants (N = 17 prior to attrition) who completed both scans, FAAH binding in whole-brain increased between T1 and T2 (n = 14; %ΔFAAH = 10%; p = 0.003), with the largest change in the ventral striatum (11%, p = 0.026). Increases in FAAH (%ΔFAAH whole-brain) were significantly associated with longer cannabis abstinence, greater baseline depression severity, and tendency to act without thinking (p < 0.001). Short-term cannabis abstinence is associated with increases in brain FAAH levels. These changes are linked to traits and symptoms associated with relapse vulnerability, including negative mood and impulsivity. These preliminary findings suggest that FAAH may play a key role in the neurobiological response to short-term abstinence and could represent a potential target for interventions.

Comparable studies

Other observational and cohort studies on cannabis, most cited first.

Study Year Design Participants
High-potency cannabis and the risk of psychosis People with first episode of psychosis and healthy controls from the local population 2009 Case-control study n = 454
Ayahuasca-Assisted Therapy for Addiction: Results from a Preliminary Observational Study in Canada Rural aboriginal population 2013 Observational study
Impaired cognitive performance in drug free users of recreational ecstasy (MDMA) Otherwise healthy young people 2000 Observational
Continued cannabis use and risk of incidence and persistence of psychotic symptoms: 10 year follow-up cohort study Individuals from the general population in Germany aged 14-24 at baseline 2011 Observational cohort n = 1,923
Cannabis-induced psychosis and subsequent schizophrenia-spectrum disorders: follow-up study of 535 incident cases Patients treated for cannabis-induced psychotic symptoms in Denmark between 1994 and... 2005 Observational cohort n = 535

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