Risk For Cannabis Use Disorder Research Articles

W15 - Increasing Risk of Cannabis Use Disorder Among U.S. Veterans With Chronic Pain: 2005-2019

W15 - Increasing Risk of Cannabis Use Disorder Among U.S. Veterans With Chronic Pain: 2005-2019

S16 - Factors Associated With Risk for Cannabis Use Disorder Among Adults Using Medical Marijuana in Florida

S16 - Factors Associated With Risk for Cannabis Use Disorder Among Adults Using Medical Marijuana in Florida

The longitudinal association of cumulative depression with cannabis use disorder among young adults.

This study examined whether the cumulative experience of elevated depressive symptoms from age 19 to 23 was associated with cannabis use disorder (CUD) at age 26, and whether the association varied by perceived ease of access to cannabis and perceived risk for harms from cannabis use. Data were from 4407 young adults participating in the Community Youth Development Study. Cumulative experience of elevated depressive symptoms was calculated by summing the number of times a participant scored 10+ on the 9-item Patient Health Questionnaire across three biennial survey waves (age 19 to 23). To assess CUD, the Diagnostic Interview Schedule was used. Participants also self-reported their ease of access to cannabis and the perceived harm of regular cannabis use at the age 19, 21, and 23 waves. Marginal structural modeling was used to account for multiple time-varying and time-fixed covariates through use of inverse probability weights. In final weighted models, a greater number of time points (i.e., study waves) showing elevated depressive symptoms was associated with an increased likelihood of CUD at age 26 (Prevalence Ratio = 1.46; 95% CI: 1.20, 1.77). There was no strong evidence for moderation of this association by perceived ease of access or perceived risk for harms due to regular cannabis use. Persistent experience of elevated depressive symptoms may place young adults at risk for cannabis use disorder. Strategies to reduce the burden of depressive symptoms among young adults may lead to downstream effects such as reducing the prevalence of cannabis-related problems.

Cannabis Use Reported by Patients Receiving Primary Care in a Large Health System

Despite the changing legal status of cannabis and the potential impact on health, few health systems routinely screen for cannabis use, and data on the epidemiology of cannabis use, and especially medical cannabis use among primary care patients, are limited. To describe the prevalence of, factors associated with, and reasons for past-3 month cannabis use reported by primary care patients. This cross-sectional study used electronic health record data from patients aged 18 years and older who had an annual wellness visit between January 2021 and May 2023 from a primary care clinic within a university-based health system in Los Angeles, California. Factors of interest included age, race and ethnicity, sex, employment status, and neighborhood Area Deprivation Index (ADI). Cannabis use was assessed using the Alcohol Substance Involvement Screening Test (ASSIST). Patients were also asked about reasons for use, symptoms for which they used cannabis, and mode of use. Among the 175 734 patients screened, the median (range) age was 47 (18-102) years; 101 657 (58.0%) were female; 25 278 (15.7%) were Asian, 21 971 (13.7%) were Hispanic, and 51 063 (31.7%) were White. Cannabis use was reported by 29 898 (17.0%), with 10 360 (34.7%) having ASSIST scores indicative of moderate to high risk for cannabis use disorder (CUD). Prevalence of cannabis use was higher among male patients than female patients (14 939 [20.0%] vs 14 916 [14.7%]) and younger patients (18-29 years, 7592 [31.0%]; ≥60 years, 4200 [8.5%]), and lower among those who lived in the most disadvantaged neighborhoods (ADI decile 9-10, 189 [13.8%]; ADI decile 1-2, 12 431 [17.4%]). The most common modes of use included edibles (18 201 [61.6%]), smoking (15 256 [51.7%]), and vaporizing (8555 [29.0%]). While 4375 patients who reported using cannabis (15.6%) did so for medical reasons only, 21 986 patients (75.7%) reported using cannabis to manage symptoms including pain (9196 [31.7%]), stress (14 542 [50.2%]), and sleep (16 221 [56.0%]). The median (IQR) number of symptoms managed was 2 (1-4), which was higher among patients who were at moderate to high risk for CUD (4 [2-6] symptoms). In this study, cannabis use and risk of CUD were common, and more than three-quarters of patients who reported any cannabis use reported doing so to manage a health-related symptom. These findings suggest that integration of information regarding cannabis use for symptom management could help provide a crucial point-of-care opportunity for clinicians to understand their patients' risk for CUD.

Substance use and mental health factors associated with self-reported higher risk cannabis use among people with HIV screened in primary care.

Background While cannabis use is prevalent among people with HIV (PWH), factors associated with higher-risk use require further study. We examined factors associated with indicators risk for cannabis use disorder (CUD) among PWH who used cannabis. Methods Participants included adult (≥ 18 years old) PWH from 3 HIV primary care clinics in Kaiser Permanente Northern California who reported past three-month cannabis use through the computerized Tobacco, Alcohol, Prescription medication, and other Substance use (TAPS) screening. Primary outcome was TAPS cannabis score (range 1-3), categorized as any use (1) and higher risk for CUD (≥ 2). Measures included sociodemographics (age, sex, race, neighborhood deprivation index [NDI]), Charlson Comorbidity Index (CCI), HIV RNA, CD4 cell counts, higher risk tobacco use (TAPS tobacco score ≥ 2), depression, and anxiety symptoms. Unadjusted and multivariable logistic regression examined factors associated with higher risk for CUD. Results Of the complete sample ( N = 978; 94.1% Male; 58.3% White; Age Mode =51-60), 35.8% reported higher risk for CUD. Unadjusted models indicated younger age, Black race, higher CCI, depression, anxiety, and higher risk tobacco use were associated with higher risk, while only Black race (OR = 1.84, 95% CI[1.29, 2.63]), anxiety (OR = 1.91, 95% CI[1.22, 2.98]), and higher risk tobacco use (OR = 2.27, 95% CI[1.47, 3.51]) remained significant in the multivariable model. Conclusions Black race, anxiety and tobacco use, but not HIV clinical markers, were associated with higher risk for CUD among PWH. Clinical efforts to screen and provide interventions for preventing CUD alongside anxiety and tobacco use among PWH should be evaluated.

The risk of cannabis use disorder is mediated by altered brain connectivity: A chronnectome study.

The brain mechanisms underlying the risk of cannabis use disorder (CUD) are poorly understood. Several studies have reported changes in functional connectivity (FC) in CUD, although none have focused on the study of time-varying patterns of FC. To fill this important gap of knowledge, 39 individuals at risk for CUD and 55 controls, stratified by their score on a self-screening questionnaire for cannabis-related problems (CUDIT-R), underwent resting-state functional magnetic resonance imaging. Dynamic functional connectivity (dFNC) was estimated using independent component analysis, sliding-time window correlations, cluster states and meta-state indices of global dynamics and were compared among groups. At-risk individuals stayed longer in a cluster state with higher within and reduced between network dFNC for the subcortical, sensory-motor, visual, cognitive-control and default-mode networks, relative to controls. More globally, at-risk individuals had a greater number of meta-states and transitions between them and a longer state span and total distance between meta-states in the state space. Our findings suggest that the risk of CUD is associated with an increased dynamic fluidity and dynamic range of FC. This may result in altered stability and engagement of the brain networks, which can ultimately translate into altered cortical and subcortical function conveying CUD risk. Identifying these changes in brain function can pave the way for early pharmacological and neurostimulation treatment of CUD, as much as they could facilitate the stratification of high-risk individuals.

Identifying cannabis risk profiles from expectancies and use behaviors: a person-centered approach

Background Cannabis use is prevalent among college students and is associated with negative consequences and cannabis use disorder. Cannabis expectancies (i.e. anticipated effects from using) are integral to cannabis use models and are related to cannabis use outcomes and cannabis motives (i.e. specific reasons for use). However, research has traditionally examined expectancy relations using variable-centered approaches that emphasize higher-order expectancies, despite evidence that expectancies are heterogeneous and comprised of lower-order domains. The current study employed a person-centered approach to identify subgroups of undergraduates who use cannabis from lower-order expectancies and cannabis use behaviors, and subgroup differences across negative consequences, cannabis use disorder risk, and motives were examined. Method A multisite sample of undergraduates (N = 1148) completed questionnaires regarding cannabis use, expectancies, motives, negative consequences, and cannabis use disorder risk. Results Latent profile analysis suggested that a six-profile solution best fit the data: profile 1 (low use/very weak expectancies, 9.0%); profile 2 (low use/moderate expectancies, 27.3%); profile 3 (low-moderate use/weak positive expectancies, 17.2%); profile 4 (low-moderate use/strong positive expectancies, 20.6%); profile 5 (moderate use/very strong expectancies, 6.5%); profile 6 (very high use/moderate expectancies, 19.3%). Profiles differed on all outcomes, and those with the strongest expectancies and highest use (profiles 5 and 6) endorsed more negative consequences, risk for cannabis use disorder, and higher levels of motives. Discussion Findings align with motivational models of cannabis use and suggest that expectancies may be a relevant cannabis use risk marker. Intervention efforts may be enhanced by screening for expectancies, as well as by attempting to modify these expectancies.

The Influence of Anxiety and Avoidant Coping on Probable Cannabis Use Disorder.

Individuals with anxiety frequently use cannabis to cope and are at greater risk for developing probable cannabis use disorder (CUD). Previous literature suggests avoidant coping styles are associated with higher anxiety levels and risk for problematic cannabis use, while action-oriented coping is associated with lower anxiety and problematic cannabis use. No studies have examined whether anxiety and action-oriented coping or avoidant coping interact to influence risk for CUD, which was the aim of the present study. College students were recruited as part of a cross-sectional study on cannabis use. Participants (N = 371; 72.2% female) completed the Depression Anxiety and Stress Subscale (DASS-21), Cannabis Use Disorder Identification Test-Revised (CUDIT-R), and the Brief-COPE (B-COPE). The data were analyzed using logistic moderation analysis. After controlling for gender, anxiety was a positive significant predictor of probable CUD, but action-oriented coping and avoidant coping were not. The interaction between anxiety and avoidant coping on probable CUD was significant, indicating that participants with high avoidant coping (regardless of high or low anxiety) and those with high anxiety (even with low avoidant coping) were more likely to have probable CUD than those with both low anxiety and low avoidant coping. No significant interaction was observed with action-oriented coping. Results suggest that avoidant coping, but not action-oriented coping, influences the relationship between anxiety and risk for probable CUD. Findings emphasize the importance of targeting both anxiety and avoidant coping when considering risk for probable CUD.

Suicide Attempts in an Italian Population with Cannabis Use Disorders: Results of a Follow-Up Study

ABSTRACT The relationship between cannabis use and suicidal behavior is complex, with no consensus in the literature. We used electronic health records of national health services to identify individuals who received a diagnosis of Cannabis Use Disorder in the Metropolitan area of Bologna from 2009 to 2019. In this cohort we identified accesses to Emergency Departments for suicide attempts from 2009 to 2019. The Crude Suicide Rate for 1,000 Person Years was 2.5, higher in females, in patients with Alcohol Use Disorders, with any psychiatric diagnosis, within one year from the first visit, and during the COVID-19 period. The risk was over 22 times higher than in the general population. Considering the high prevalence of cannabis use in the general population and the consequent risk of Cannabis Use Disorders, these data suggest the importance of a clinical evaluation for suicidal risk.

Trends in Prevalence of Cannabis Use Disorder Among U.S. Veterans With and Without Psychiatric Disorders Between 2005 and 2019.

Cannabis use disorder diagnoses are increasing among U.S. adults and are more prevalent among people with comorbid psychiatric disorders. Recent changes in cannabis laws, increasing cannabis availability, and higher-potency cannabis may have placed people with cannabis use and psychiatric disorders at disproportionately increasing risk for cannabis use disorder. The authors used Veterans Health Administration (VHA) data to examine whether trends in cannabis use disorder prevalence among VHA patients differ by whether they have psychiatric disorders. VHA electronic health records from 2005 to 2019 (N range, 4,332,165-5,657,277) were used to identify overall and age-group-specific (<35, 35-64, and ≥65 years) trends in prevalence of cannabis use disorder diagnoses among patients with depressive, anxiety, posttraumatic stress, bipolar, or psychotic spectrum disorders and to compare these to corresponding trends among patients without any of these disorders. Given transitions in ICD coding, differences in trends were tested within two periods: 2005-2014 (ICD-9-CM) and 2016-2019 (ICD-10-CM). Greater increases in prevalence of cannabis use disorder diagnoses were observed among patients with psychiatric disorders compared to those without (difference in prevalence change, 2005-2014: 1.91%, 95% CI=1.87-1.96; 2016-2019: 0.34%, 95% CI=0.29-0.38). Disproportionate increases in cannabis use disorder prevalence among patients with psychiatric disorders were greatest among those under age 35 between 2005 and 2014, and among those age 65 or older between 2016 and 2019. Among patients with psychiatric disorders, the greatest increases in cannabis use disorder prevalences were observed among those with bipolar and psychotic spectrum disorders. The findings highlight disproportionately increasing disparities in risk of cannabis use disorder among VHA patients with common psychiatric disorders. Greater public health and clinical efforts are needed to monitor, prevent, and treat cannabis use disorder in this population.

Cannabis use Disorder and Complications After Anterior Cervical Diskectomy and Fusion

The aim of this study, a retrospective database analysis, was to assess the impact of baseline cannabis use disorder (CUD) on perioperative complication outcomes in patients undergoing primary 1- to 2-level anterior cervical diskectomy and fusion (ACDF) surgery. The PearlDiver Database was queried from January 2010 to December 2021 for patients who underwent primary 1- to 2-level ACDF surgery for degenerative spine disease. Patients with CUD diagnosis 6 months before the index ACDF surgery (i.e., CUD) were propensity matched with patients without CUD (i.e., control in a ratio of 1:1, employing age, gender, and Charlson Comorbidity Index as matching covariates). Univariate and multivariable analysis models with adjustment of confounding variables were used to evaluate the risk of CUD on perioperative complications between the propensity-matched cohorts. The 1:1 matched cohort included 838 patients in each group. Following multivariate analysis, CUD was demonstrated to be associated with an increased incidence of hospital readmission at 90 days (odds ratio [OR]= 2.64, 95% confidence interval: [1.19 to 6.78], [P= 0.027]) and revision surgery at 1 year postoperative (OR= 3.36, 95% confidence interval: [1.17 to 14.18], [P= 0.049]). CUD was additionally associated with reduced risk of overall medical complications at both 6 months and 1 year postoperative (OR= 0.55, [P= 0.021], and OR= 0.54, [P= 0.015], respectively). These findings indicate that isolated baseline CUD is associated with an increased risk of hospital readmission at 90 days postoperative and cervical spine reoperation at 1 year after primary 1- to 2-level ACDF surgery with a decrease in overall medical complications, cardiac arrhythmias, and acute renal failure.

Chronic pain, cannabis legalisation, and cannabis use disorder among patients in the US Veterans Health Administration system, 2005 to 2019: a repeated, cross-sectional study

Cannabis use disorder is associated with considerable comorbidity and impairment in functioning, and prevalence is increasing among adults with chronic pain. We aimed to assess the effect of introduction of medical cannabis laws (MCL) and recreational cannabis laws (RCL) on the increase in cannabis use disorder among patients in the US Veterans Health Administration (VHA). Data from patients with one or more primary care, emergency, or mental health visit to the VHA in 2005-19 were analysed using 15 repeated cross-sectional VHA electronic health record datasets (ie, one dataset per year). Patients in hospice or palliative care were excluded. Patients were stratified as having chronic pain or not using an American Pain Society taxonomy of painful medical conditions. We used staggered-adoption difference-in-difference analyses to estimate the role of MCL and RCL enactment in the increases in prevalence of diagnosed cannabis use disorder and associations with presence of chronic pain, accounting for the year that state laws were enacted. We did this by fitting a linear binomial regression model stratified by pain, with time-varying cannabis law status, fixed effects for state, categorical year, time-varying state-level sociodemographic covariates, and patient covariates (age group [18-34 years, 35-64 years, and 65-75 years], sex, and race and ethnicity). Between 2005 and 2019, 3 234 382-4 579 994 patients were included per year. Among patients without pain in 2005, 5·1% were female, mean age was 58·3 (SD 12·6) years, and 75·7%, 15·6%, and 3·6% were White, Black, and Hispanic or Latino, respectively. In 2019, 9·3% were female, mean age was 56·7 (SD 15·2) years, and 68·1%, 18·2%, and 6·5% were White, Black, and Hispanic or Latino, respectively. Among patients with pain in 2005, 7·1% were female, mean age was 57·2 (SD 11·4) years, and 74·0%, 17·8%, and 3·9% were White, Black, and Hispanic or Latino, respectively. In 2019, 12·4% were female, mean age was 57·2 (SD 13·8) years, and 65·3%, 21·9%, and 7·0% were White, Black, and Hispanic or Latino, respectively. Among patients with chronic pain, enacting MCL led to a 0·135% (95% CI 0·118-0·153) absolute increase in cannabis use disorder prevalence, with 8·4% of the total increase in MCL-enacting states attributable to MCL. Enacting RCL led to a 0·188% (0·160-0·217) absolute increase in cannabis use disorder prevalence, with 11·5% of the total increase in RCL-enacting states attributable to RCL. In patients without chronic pain, enacting MCL and RCL led to smaller absolute increases in cannabis use disorder prevalence (MCL: 0·037% [0·027-0·048], 5·7% attributable to MCL; RCL: 0·042% [0·023-0·060], 6·0% attributable to RCL). Overall, associations of MCL and RCL with cannabis use disorder were greater in patients with chronic pain than in patients without chronic pain. Increasing cannabis use disorder prevalence among patients with chronic pain following state legalisation is a public health concern, especially among older age groups. Given cannabis commercialisation and widespread public beliefs about its efficacy, clinical monitoring of cannabis use and discussion of the risk of cannabis use disorder among patients with chronic pain is warranted. NIDA grant R01DA048860, New York State Psychiatric Institute, and the VA Centers of Excellence in Substance Addiction Treatment and Education.

Risk for Cannabis Use Disorder in People Who Use Cannabis to Cope with Internalizing Disorders: Implications for Policy and Practice

The prevalence of Cannabis Use Disorder (CUD) is increasing in the United States, likely related to increasing cultural and legal acceptance of cannabis. While most cannabis users will not develop a CUD, certain behaviors may increase risk. For example, smoking to cope with anxiety or depressive disorders is associated with higher rates of cannabis use. Users who smoke to cope with these internalizing disorders (anxiety, depression) increase the addictive potential of cannabis. Systems that potentially maintain problematic use in people with internalizing disorders include the reward processing and the stress responsivity systems. Both exhibit neurobiological changes after chronic heavy cannabis use and are affected across internalizing disorders. The shared importance of these systems may warrant several recommendations for policy and practice. Some reexamine cannabis-related policy, invest in local communities, and improve cannabis education.

Association of self-reported use of cannabis for the purpose of improving physical, mental, and sleep health with problematic cannabis use risk

BackgroundLittle is known about health-focused cannabis use purposes and their associations with risk for problematic cannabis use. This cross-sectional study examined three broad cannabis use purposes and association with risk for problematic use among young adult cannabis users who report using for > 1 health reasons.MethodsYoung adults completed an electronic survey as part of an ongoing study on substance use and health. Those who self-reported past 6-month use of ≥ 1 cannabis products—smoking, vaping, dabbing, eating, and blunts—were included in the analysis. Their purposes for use were coded into three categories: sleep, mental, and physical health. Problematic cannabis use (PCU) was measured with the three-level structure Cannabis Abuse Screening Test (CAST-3). Adjusted multivariable regression models were used to estimate use purposes associated with with problematic cannabis use at the p < 0.05 level.ResultsParticipants (n = 954) were mostly female (63.94%) and Hispanic (54.93%). Mental health was the most endorsed reason (73.38%) for use among study sample. Among participants, 36.3% were classified as being at severe risk (CAST-3 score ≥ 8). There was a significant association between PCU risk and reporting cannabis use for physical health (p < 0.01), mental health, and sleep health (p < 0.01) purposes. Those who used cannabis for physical heath purposes had about four times the risk (adjusted relative risk ratio (aRRR) = 4.38, 95% CI = 3.06–6.69), those who used for mental health had about three times the risk (aRRR = 2.81, 95% CI = 1.86–4.72), and those who used for sleep health had almost two times the risk (aRRR = 1.83, 95% CI = 1.17–2.63) for severe PCU.ConclusionAll cannabis use purposes examined increased risk of problematic cannabis use. Physical health use purposes was associated with highest PCU risk. This study demonstrates the risk for cannabis use disorder associated with self-medicating with cannabis.

Validation of a Bayesian learning model to predict the risk for cannabis use disorder

Background:Cannabis use disorder (CUD) is a growing public health problem. Early identification of adolescents and young adults at risk of developing CUD in the future may help stem this trend. A logistic regression model fitted using a Bayesian learning approach was developed recently to predict the risk of future CUD based on seven risk factors in adolescence and youth. A nationally representative longitudinal dataset, Add Health was used to train the model (henceforth referred as Add Health model). Methods:We validated the Add Health model on two cohorts, namely, Michigan Longitudinal Study (MLS) and Christchurch Health and Development Study (CHDS) using longitudinal data from participants until they were approximately 30 years old (to be consistent with the training data from Add Health). If a participant was diagnosed with CUD at any age during this period, they were considered a case. We calculated the area under the curve (AUC) and the ratio of expected and observed number of cases (E/O). We also explored recalibrating the model to account for differences in population prevalence. Results:The cohort sizes used for validation were 424 (53 cases) for MLS and 637 (105 cases) for CHDS. AUCs for the two cohorts were 0.66 (MLS) and 0.73 (CHDS) and the corresponding E/O ratios (after recalibration) were 0.995 and 0.999. Conclusion:The external validation of the Add Health model on two different cohorts lends confidence to the model’s ability to identify adolescent or young adult cannabis users at high risk of developing CUD in later life.

Using the Severity of Dependence Scale to examine cannabis consumers with impaired control in Canada.

The 2018 Cannabis Act legalizing the production, sale, and use of cannabis for non-medical purposes renewed interest in the importance of ongoing and more detailed monitoring of cannabis consumption and consequences. Some cannabis users will experience impaired control over their use of cannabis, putting them at risk for cannabis use disorder (CUD, sometimes called addiction) and other harms. Including the Severity of Dependence Scale (SDS) in the annual Canadian Community Health Survey (CCHS) would allow for monitoring of one of the more harmful consequences of cannabis use in the post-legalization period. Data from the nationally representative 2019-2020 CCHS were used to examine cannabis consumers with and without impaired control. Respondents who used cannabis in the past year were categorized according to their SDS scores: those with impaired control (SDS ≥ 4) versus those without impaired control (SDS < 4). Cross-tabulations were used to examine the sociodemographic, mental health, health behaviour and cannabis exposure characteristics of those with impaired control. Multivariable logistic regression models assessed associations between these characteristics and the risk of impaired control. The prevalence of self-reported cannabis-related problems experienced by consumers-with and without impaired control-is also presented. In 2019-2020, 4.7% of past-year cannabis consumers scored ≥ 4 on the SDS and were considered to have impaired control. Multivariable logistic regression suggested that the odds of having impaired control remained higher for people who were male, were aged 18 to 24 years, were single or never married, were from lower-income households, were diagnosed with an anxiety or a mood disorder, started consuming cannabis at age ≤ 15, and consumed at least monthly. A better understanding of the characteristics of cannabis consumers experiencing impaired control (a correlate of future CUD or addiction) could help with the development of more effective education, prevention and treatment strategies.

Physical inactivity during adolescence heightens risk for cannabis use disorder in adulthood.

The association between physical inactivity and substance use throughout adolescence was prospectively investigated in relation to developing cannabis use disorder (CUD). Physical inactivity and substance use in males (N = 462) and females (N = 178) were measured at 12-14, 16, 19, and 22 years of age in a repeated measures design. A structured diagnostic interview was administered to formulate current CUD diagnosis at 22 years of age. Mixture modeling path analysis evaluated the association between physical inactivity, substance use, and CUD. Males: Slope of physical inactivity increase spanning 12-22 years of age mediates the association between number of parents with substance use disorder (SUD) and rate of increase in substance use frequency (prodrome) which mediates the association between physical inactivity (hypothesized vulnerability) and CUD. Females: Number of SUD parents predicts slope of physical inactivity increase in daughters throughout adolescence which covaries with slope of increasing substance use frequency culminating in CUD. The association between parental SUD load (number of SUD affected parents) and CUD was found to not be mediated by physical inactivity. Rate of increase in physical inactivity during adolescence in males and females is a facet of the vulnerability for CUD. These results have ramifications for prevention considering that numerous cognitive, behavior, and emotion features of CUD vulnerability are attenuated by exercise. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

Increasing risk of cannabis use disorder among U.S. veterans with chronic pain: 2005-2019.

In the United States, cannabis is increasingly used to manage chronic pain. Veterans Health Administration (VHA) patients are disproportionately affected by pain and may use cannabis for symptom management. Because cannabis use increases the risk of cannabis use disorders (CUDs), we examined time trends in CUD among VHA patients with and without chronic pain, and whether these trends differed by age. From VHA electronic health records from 2005 to 2019 (∼4.3-5.6 million patients yearly), we extracted diagnoses of CUD and chronic pain conditions ( International Classification of Diseases [ ICD ]- 9-CM , 2005-2014; ICD-10-CM , 2016-2019). Differential trends in CUD prevalence overall and age-stratified (<35, 35-64, or ≥65) were assessed by any chronic pain and number of pain conditions (0, 1, or ≥2). From 2005 to 2014, the prevalence of CUD among patients with any chronic pain increased significantly more (1.11%-2.56%) than those without pain (0.70%-1.26%). Cannabis use disorder prevalence increased significantly more among patients with chronic pain across all age groups and was highest among those with ≥2 pain conditions. From 2016 to 2019, CUD prevalence among patients age ≥65 with chronic pain increased significantly more (0.63%-1.01%) than those without chronic pain (0.28%-0.47%) and was highest among those with ≥2 pain conditions. Over time, CUD prevalence has increased more among VHA patients with chronic pain than other VHA patients, with the highest increase among those age ≥65. Clinicians should monitor symptoms of CUD among VHA patients and others with chronic pain who use cannabis, and consider noncannabis therapies, particularly because the effectiveness of cannabis for chronic pain management remains inconclusive.

Pot at the End of the Rainbow: Cannabis Use Among Sexual Minorities.

Introduction: Gay, lesbian, and bisexual individuals (i.e., sexual minorities) use cannabis more frequently than heterosexuals; however, little research has directly compared sexual minorities' patterns of cannabis use (e.g., quantity, age of onset, forms of cannabis used) with heterosexuals. Some research has identified motivations for cannabis use in sexual minorities, but much of this research has been qualitative and/or narrow in scope (e.g., focused on sexual motivations). To the best of our knowledge, no previous research has used a validated measure to examine motives for cannabis use among sexual minorities. Additionally, cannabis use is known to be associated with mental health symptoms, but little research has examined relationships between cannabis use and mental health in this population. Materials and Methods: Data analyses were performed on archival survey data collected from 10 undergraduate psychology subject pools across the United States (N=4,669) as a part of Project ART (Addictions Research Team). Participants indicated their sexual orientation using a 5-point scale, and responses were used to classify participants into three groups: the majority of the sample (n=3,483) were classified into the heterosexual group, about one quarter were classified into the bisexual group (n=1,081), and a small number were classified into the gay group (n=105). Results: The bisexual group was more likely to report using cannabis. They also reported using cannabis more frequently, were more likely to report use of all product types (i.e., flower, concentrates, and edibles), and reported more severe symptoms of cannabis use disorder (CUD) than the heterosexual group. The bisexual group also reported higher levels of coping and enhancement motives for using cannabis and reported higher levels of all measured mental health symptoms (e.g., depression, suicidality, generalized anxiety, and social anxiety) compared with the heterosexual group. Conclusions: Increased frequency of cannabis use, use of a broad range of different products, and use of cannabis to cope with mental health concerns may be placing bisexual individuals at greater risk of CUD. Findings from this study can be used to guide future research and help target mental health interventions among bisexual individuals.

Δ9-Tetrahydrocannabinol does not upregulate an aversive dopamine receptor mechanism in adolescent brain unlike in adults

Earlier age of cannabis usage poses higher risk of Cannabis Use Disorder and adverse consequences, such as addiction, anxiety, dysphoria, psychosis, largely attributed to its principal psychoactive component, Δ9-tetrahydrocannabinol (THC) and altered dopaminergic function. As dopamine D1-D2 receptor heteromer activation causes anxiety and anhedonia, this signaling complex was postulated to contribute to THC-induced affective symptoms. To investigate this, we administered THC repeatedly to adolescent monkeys and adolescent or adult rats. Drug-naïve adolescent rat had lower striatal densities of D1-D2 heteromer compared to adult rat. Repeated administration of THC to adolescent rat or adolescent monkey did not alter D1-D2 heteromer expression in nucleus accumbens or dorsal striatum but upregulated it in adult rat. Behaviourally, THC-treated adult, but not adolescent rat manifested anxiety and anhedonia-like behaviour, with elevated composite negative emotionality scores that correlated with striatal D1-D2 density. THC modified downstream markers of D1-D2 activation in adult, but not adolescent striatum. THC administered with cannabidiol did not alter D1-D2 expression. In adult rat, co-administration of CB1 receptor (CB1R) inverse agonist with THC attenuated D1-D2 upregulation, implicating cannabinoids in the regulation of striatal D1-D2 heteromer expression. THC exposure revealed an adaptable age-specific, anxiogenic, anti-reward mechanism operant in adult striatum but deficient in adolescent rat and monkey striatum that may confer increased sensitivity to THC reward in adolescence while limiting its negative effects, thus promoting continued use and increasing vulnerability to long-term adverse cannabis effects.