Clinical management of cannabis withdrawal.
Ontology highlight
ABSTRACT: Background and aims
Cannabis withdrawal is a well-characterized phenomenon that occurs in approximately half of regular and dependent cannabis users after abrupt cessation or significant reductions in cannabis products that contain Δ9 -tetrahydrocannabinol (THC). This review describes the diagnosis, prevalence, course and management of cannabis withdrawal and highlights opportunities for future clinical research.Methods
Narrative review of literature.Results
Symptom onset typically occurs 24-48 hours after cessation and most symptoms generally peak at days 2-6, with some symptoms lasting up to 3 weeks or more in heavy cannabis users. The most common features of cannabis withdrawal are anxiety, irritability, anger or aggression, disturbed sleep/dreaming, depressed mood and loss of appetite. Less common physical symptoms include chills, headaches, physical tension, sweating and stomach pain. Despite limited empirical evidence, supportive counselling and psychoeducation are the first-line approaches in the management of cannabis withdrawal. There are no medications currently approved specifically for medically assisted withdrawal (MAW). Medications have been used to manage short-term symptoms (e.g. anxiety, sleep, nausea). A number of promising pharmacological agents have been examined in controlled trials, but these have been underpowered and positive findings not reliably replicated. Some (e.g. cannabis agonists) are used 'off-label' in clinical practice. Inpatient admission for MAW may be clinically indicated for patients who have significant comorbid mental health disorders and polysubstance use to avoid severe complications.Conclusions
The clinical significance of cannabis withdrawal is that its symptoms may precipitate relapse to cannabis use. Complicated withdrawal may occur in people with concurrent mental health and polysubstance use.
SUBMITTER: Connor JP
PROVIDER: S-EPMC9110555 | biostudies-literature |
REPOSITORIES: biostudies-literature
Similar Datasets
Project description:BackgroundChronic users of cannabis often report withdrawal symptoms after abstinence from use, but little is known about cannabis withdrawal in people with schizophrenia.MethodsCannabis use patterns and withdrawal symptoms in adults with schizophrenia who had at least weekly cannabis use before attempting to quit without formal treatment were assessed with the Marijuana Quit Questionnaire (MJQQ), a 176-item, semi-structured questionnaire.Results120 participants, predominantly African-American (62.5%) and male (76.7%), met inclusion criteria. 20.1% reported that their first regular cannabis use (median age 15 years [range 8-48]) preceded their age at first psychotic symptoms (20 [4-50] years). Twenty (16.7%) participants met lifetime criteria for cannabis abuse; 98 (81.7%) met surrogate criteria for lifetime cannabis dependence. Withdrawal symptoms were reported by 113 (94.2%) participants, with 74.2% reporting ≥4 symptoms. The most frequently reported withdrawal symptoms were craving for cannabis (59.2%), feeling anxious (52.57%), feeling bored (47.5%), feeling sad or depressed (45.8%), feeling irritable or jumpy (45.0%), feeling restless (43.3%), and trouble failing asleep (33.3%). One hundred-and-four (92.0%) participants took some action to relieve at least one of their withdrawal symptoms during their index-quit attempt, including 26 (23.0%) participants who reported resuming cannabis use.ConclusionCannabis withdrawal is a clinically significant feature of cannabis use among people with schizophrenia, may serve as a negative reinforcer for relapse, and deserves greater attention in treatment and research. Clinical Trials registration NCT00679016.
| S-EPMC3591813 | biostudies-literature
Project description:BACKGROUND:Cannabis withdrawal syndrome (CWS) was newly added to the Diagnostic and Statistical Manual of Mental Disorders in its most recent edition, DSM-5. With cannabis use increasing among U.S. adults, information is needed about the prevalence and correlates of DSM-5 CWS in the general population. This study presents nationally representative findings on the prevalence, sociodemographic and clinical correlates of DSM-5 CWS among U.S. adults. METHOD:Participants ?18 years were interviewed in the National Epidemiologic Survey on Alcohol and Related Conditions-III (NESARC-III) in 2012-2013. Among the sub-sample of frequent cannabis users in the prior 12 months (?3 times a week; N?=?1527), the prevalence and demographic and clinical correlates of DSM-5 CWS were examined. RESULTS:In frequent cannabis users, the prevalence of CWS was 12.1%. The most common withdrawal symptoms among those with CWS were nervousness/anxiety (76.3%), hostility (71.9%), sleep difficulty (68.2%) and depressed mood (58.9%). CWS was associated with significant disability (p?<?0.001), and with mood disorders (adjusted odds ratios [aOR]?=?1.9-2.6), anxiety disorders (aOR?=?2.4-2.5), personality disorders (aOR?=?1.7-2.2) and family history of depression (aOR?=?2.5) but not personal history of other substance use disorders or family history of substance use problems. CONCLUSIONS:CWS is highly comorbid and disabling. Its shared symptoms with depressive and anxiety disorders call for clinician awareness of CWS and the factors associated with it to promote more effective treatment among frequent cannabis users.
| S-EPMC6359953 | biostudies-literature
Project description:Background and aimsResearch from cohorts of individuals with recreational cannabis use indicates that cannabis withdrawal symptoms are reported by more than 40% of those using regularly. Withdrawal symptoms are not well understood in those who use cannabis for medical purposes. Therefore, we prospectively examined the stability of withdrawal symptoms in individuals using cannabis to manage chronic pain.Design, setting, participantsUsing latent class analysis (LCA) we examined baseline cannabis withdrawal to derive symptom profiles. Then, using latent transition analysis (LTA) we examined the longitudinal course of withdrawal symptoms across the time points. Exploratory analyses examined demographic and clinical characteristics predictive of withdrawal class and transitioning to more or fewer withdrawal symptoms over time. A cohort of 527 adults with chronic pain seeking medical cannabis certification or re-certification was recruited between February 2014 and June 2015. Participants were recruited from medical cannabis clinic waiting rooms in Michigan, USA. Participants were predominantly white (82%) and 49% identified as male, with an average age of 45.6 years (standard deviation = 12.8).MeasurementsBaseline, 12-month and 24-month assessments of withdrawal symptoms using the Marijuana Withdrawal Checklist-revised.FindingsA three-class LCA model including a mild (41%), moderate (34%) and severe (25%) symptom class parsimoniously represented withdrawal symptoms experienced by people using medical cannabis. Stability of withdrawal symptoms using a three-class LTA at 12 and 24 months ranged from 0.58 to 0.87, with the most stability in the mild withdrawal class. Younger age predicted greater severity and worsening of withdrawal over time.ConclusionsAdults with chronic pain seeking medical cannabis certification or re-certification appear to experience mild to severe withdrawal symptoms. Withdrawal symptoms tend to be stable over a 2-year period, but younger age is predictive of worse symptoms and of an escalating withdrawal trajectory.
| S-EPMC8363170 | biostudies-literature
Project description:OBJECTIVE:Although cannabis is the most widely abused illicit drug, little is known about the prevalence of cannabis withdrawal and its factor structure, clinical validity, and psychiatric correlates in the general population. METHOD:National Epidemiologic Survey on Alcohol and Related Conditions participants were assessed, in 2001-2002, with structured in-person interviews covering substance history, DSM-IV Axis I and II disorders, and withdrawal symptoms after cessation of use. Of these, 2613 had been frequent cannabis users (> or = 3 times/week), and a "cannabis-only" subset (N = 1119) never binge-drank or used other drugs > or = 3 times/week. RESULTS:In the full sample and subset, 44.3% (SE = 1.19) and 44.2% (SE = 1.75), respectively, experienced > or = 2 cannabis withdrawal symptoms, while 34.4% (SE = 1.21) and 34.1% (SE = 1.76), respectively, experienced > or = 3 symptoms. The symptoms formed 2 factors, one characterized by weakness, hypersomnia, and psychomotor retardation and the second by anxiety, restlessness, depression, and insomnia. Both symptom types were associated with significant distress/impairment (p < .01), substance use to relieve/avoid cannabis withdrawal symptoms (p <.01), and quantity of cannabis use (among the cannabis-only users p < .05). Panic (p < .01) and personality (p > .01) disorders were associated with anxiety symptoms in both samples, family history of drug problems was associated with weakness symptoms in the subset (p = .01), and depression was associated with both sets of symptoms in the subset (p < or = .05). CONCLUSION:Cannabis withdrawal was prevalent and clinically significant among a representative sample of frequent cannabis users. Similar results in the subset without polysubstance abuse confirmed the specificity of symptoms to cannabis. Cannabis withdrawal should be added to DSM-V, and the etiology and treatment implications of cannabis withdrawal symptoms should be investigated.
| S-EPMC2777674 | biostudies-literature
Project description:ObjectivesChronic, frequent cannabis smokers may experience residual and offset effects, withdrawal, and craving when abstaining from the drug. We characterized the prevalence, duration, and intensity of these effects in chronic frequent cannabis smokers during abstinence on a closed research unit.MethodsNon-treatment-seeking participants (N = 29 on admission, 66% and 34% remaining after 2 and 4 weeks) provided subjective effects data. A battery of five instruments was computer-administered daily to measure psychological, sensory, and physical symptoms associated with cannabinoid intoxication and withdrawal. Plasma and oral fluid specimens were concurrently collected and analyzed for cannabinoids. Outcome variables were evaluated as change from admission (Day 0) with regression models.ResultsMost abstinence effects, including irritability and anxiety were greatest on Days 0-3 and decreased thereafter. Cannabis craving significantly decreased over time, whereas decreased appetite began to normalize on Day 4. Strange dreams and difficulty getting to sleep increased over time, suggesting intrinsic sleep problems in chronic cannabis smokers. Symptoms likely induced by residual drug effects were at maximum intensity on admission and positively correlated with plasma and oral fluid cannabinoid concentrations on admission but not afterward; these symptoms showed overall prevalence higher than cannabis withdrawal symptoms.ConclusionsThe combined influence of residual/offset drug effects, withdrawal, and craving was observed in chronic cannabis smokers during monitored abstinence. Abstinence symptoms were generally more intense in the initial phase, implying importance of early intervention in cannabis quit attempts. Sleep disturbance persisting for an extended period suggests that hypnotic medications could be beneficial in treating cannabis dependence.
| S-EPMC3986824 | biostudies-literature
Project description:Attenuating enzymatic degradation of endocannabinoids (eCBs) by fatty acid amide hydrolase (FAAH) reduces cannabis withdrawal symptoms in preclinical and clinical studies. In mice, blocking cyclooxygenase-2 (COX-2) activity increases central eCB levels by inhibiting fatty acid degradation. This placebo-controlled study examined the effects of the FDA-approved COX-2 selective inhibitor, celecoxib, on cannabis withdrawal, 'relapse', and circulating eCBs in a human laboratory model of cannabis use disorder. Daily, nontreatment-seeking cannabis smokers (12M, 3F) completed a crossover study comprising two 11-day study phases (separated by >14 days for medication clearance). In each phase, the effects of daily BID placebo (0 mg) or celecoxib (200 mg) on cannabis (5.3% THC) intoxication, withdrawal symptoms (4 days of inactive cannabis self-administration) and 'relapse' (3 days of active cannabis self-administration following abstinence) were assessed. Outcome measures included mood, cannabis self-administration, sleep, food intake, cognitive performance, tobacco cigarette use and circulating eCBs and related lipids. Under placebo maintenance, cannabis abstinence produced characteristic withdrawal symptoms (negative mood, anorexia and dreaming) relative to cannabis administration and was associated with increased OEA (a substrate of FAAH) and oleic acid (metabolite of OEA), with no change in eCB levels. Compared to placebo, celecoxib improved subjective (but not objective) measures of sleep and did not affect mood or plasma levels of eCBs or associated lipids and increased cannabis craving. The overall absence of effects on cannabis withdrawal symptoms, self-administration or circulating eCBs relative to placebo, combined with an increase in cannabis craving, suggests celecoxib does not show promise as a potential pharmacotherapy for CUD.
| S-EPMC9245164 | biostudies-literature
Project description:BackgroundAlcohol withdrawal syndrome (AWS) is a common condition in hospitalized patients, yet its epidemiology in the ICU remains poorly characterized.MethodsRetrospective cohort of patients admitted to the Nantes University Hospital ICU between January 1, 2017, and December 31, 2019, and coded for AWS using ICD-10 criteria. The objective of the study was to identify factors associated with complicated hospital stay defined as ICU length of stay ≥7 days or hospital mortality.ResultsAmong 5,641 patients admitted to the ICU during the study period, 246 (4.4%) were coded as having AWS. Among them, 42 had exclusion criteria and 204 were included in the study. The three main reasons for ICU admission were sepsis (29.9%), altered consciousness (29.4%), and seizures (24%). At ICU admission, median Cushman's score was 6 [4-9] and median SOFA score was 3 [2-6]. Delirium tremens occurred in half the patients, seizures in one fifth and pneumonia in one third. Overall, 48% of patients developed complicated hospital stay, of whom 92.8% stayed in the ICU for ≥7 days, 36.7% received MV for ≥7 days, and 16.3% died during hospital stay. By multivariable analysis, two factors were associated with complicated hospital stay: a higher number of organ dysfunctions at ICU admission was associated with a higher risk of complicated hospital stay (OR, 1.18; 95CI, 1.05-1.32, P = 0.005), whereas ICU admission for seizures was associated with a lower risk of complicated hospital stay (OR, 0.14; 95%CI, 0.026-0.80; P = 0.026).ConclusionsAWS in ICU patients chiefly affects young adults and is often associated with additional factors such as sepsis, trauma, or surgery. Half the patients experienced an extended ICU stay or death during the hospital stay. The likelihood of developing complicated hospital stay relied on the reason for ICU admission and the number of organ dysfunctions at ICU admission.
| S-EPMC8687554 | biostudies-literature
Project description:OBJECTIVE:The current study used a sample of high-risk adolescents to examine cannabis withdrawal correlates, including assessments of other drug withdrawal and affective lability that may confound cannabis withdrawal measurement. METHOD:A total of 448 high-risk adolescents, living in the Southwest United States, were recruited from a juvenile detention center for a sexual risk-reduction intervention study (60% male; 67% Hispanic). Assessments were administered every 3 months for a year, resulting in five assessments of drug use and withdrawal (cannabis, alcohol, nicotine). Affective lability was also assessed. RESULTS:Forty-two percent of participants endorsed cannabis withdrawal at baseline. Participants used cannabis, on average, 3.3 days/week at baseline and 0.8-1.1 days/week at follow-ups. Cannabis use and withdrawal were only weakly to moderately correlated (r = .14-.32). Unexpectedly, alcohol withdrawal demonstrated strong correlations with cannabis withdrawal at all assessments (r = .41-.55). Furthermore, affective lability measures were related to cannabis withdrawal (r = .22-.32) but not with cannabis use (r = -.03-.09). CONCLUSIONS:Whereas cannabis withdrawal was only weakly to moderately related to cannabis use, it demonstrated strong associations with alcohol withdrawal across all assessments. In addition, affective lability measures were moderately correlated with cannabis withdrawal but not with cannabis use. Thus, other drug withdrawal and individual differences are essential to consider when assessing cannabis withdrawal.
| S-EPMC6811723 | biostudies-literature
Project description:Cannabis use disorder (CUD) commonly occurs and carries a notable economic and functional burden at both individual and societal levels. While there are no clearly efficacious medication treatments for CUD, 20 years of committed and high-quality research in the human laboratory and clinical settings have resulted in medications with demonstrated effectiveness in the treatment of cannabis withdrawal, the ability to reduce cannabis use, and results that point to promising future work. The current state of pharmacology research for CUD highlights the need to consider particular characteristics of patients, such as gender, impulsivity, and severity of cannabis use, when selecting a medication in the off-label treatment of CUD or cannabis withdrawal. As a field, the body of work also exposes some areas in need of improvement in study design, selection of outcome measures, interpretation of results, and the overall process of evaluating candidate medications. Coming to a consensus as a field and addressing these gaps in future research will likely lend itself to further advances in improving the lives of patients with CUD.
| S-EPMC5719115 | biostudies-literature
Project description:Cannabis use and dependence is a serious health and criminal justice issue among incarcerated populations internationally. Upon abrupt, enforced cessation of cannabis, prisoners may suffer irritability and anger that can lead to threatening behaviour, intimidation, violence, sleep disturbances and self-harm. Cannabis withdrawal syndrome, proposed for inclusion in the Diagnostic and Statistical Manual of Mental Disorders in 2013, has not been examined in Indigenous populations. Owing to the exceptionally high rates of cannabis use in the community, high proportions of Australian Indigenous prisoners may suffer from withdrawal upon entry to custody. 60 male and 60 female Indigenous prisoners (18-40 years) at a high risk of cannabis dependence will be recruited upon entry to custody. A pictorial representation of the standard Cannabis Withdrawal Scale will be tested for reliability and validity. Cortisol markers will be measured in saliva, as the indicators of onset and severity of cannabis withdrawal and psychological distress. The characteristics will be described as percentages and mean or median values with 95% CI. Receiver operator curve analysis will determine an ideal cut-off of the Cannabis Withdrawal Scale and generalised estimating equations modelling will test changes over time. The acceptability and efficacy of proposed resources will be assessed qualitatively using thematic analysis. A valid and reliable measure of cannabis withdrawal for use with Indigenous populations, the onset and time course of withdrawal symptoms in this population and the development of culturally acceptable resources and interventions to identify and manage cannabis withdrawal. The project has been approved by the James Cook University Human Research Ethics Committee (approval number H4651).The results will be reported via peer reviewed publications, conference, seminar presentations and on-line media for national and international dissemination.
| S-EPMC3657653 | biostudies-literature