DSM-5 cannabis use disorder in the National Epidemiologic Survey on Alcohol and Related Conditions-III: Gender-specific profiles

Associations of PTSD, chronic pain, and their comorbidity on cannabis use disorder: Results from an American nationally representative study

BACKGROUND

Cannabis can be prescribed for posttraumatic stress disorder (PTSD) and chronic pain, and comorbid cannabis use disorder (CUD) can occur in both conditions. Research demonstrates that PTSD and chronic pain commonly co-occur.

METHODS

Data were acquired from the National Epidemiologic Survey on Alcohol and Related Conditions-III (N = 36,309). Past-year CUD and PTSD were assessed using the Alcohol Use Disorder and Associated Disabilities Interview Schedule-5. Past-year physician-confirmed chronic pain was self-reported and classified as musculoskeletal (e.g., arthritis), digestive (e.g., pancreatitis), and nerve (e.g., reflex sympathetic dystrophy) pain. Weighted cross-tabulations assessed sociodemographic, psychiatric, and chronic pain condition variables among those with PTSD versus no PTSD, among the entire sample and among those with CUD and chronic pain. Multiple logistic regressions examined the relationship between PTSD and chronic pain with CUD. CUD characteristics were also evaluated across PTSD and chronic pain groups.

RESULTS

Rates of CUD were elevated in PTSD (9.4%) compared to those without (2.2%). The odds of CUD were greater for PTSD+digestive pain, PTSD+nerve pain, and PTSD+any chronic pain compared to having neither PTSD nor chronic pain (odds ratio range: 1.88-2.32). PTSD with and without comorbid chronic pain was associated with overall elevated rates of adverse CUD characteristics, including earlier age of onset, greater usage, and greater CUD severity.

CONCLUSIONS

PTSD with and without chronic pain is associated with elevated rates and severity of CUD. These results may have implications for prescribing practices and understanding individuals at risk for developing CUD.

Severity of DSM-5 cannabis use disorders in a nationally representative sample of sexual minorities

Background: Our study is the first using a national sample to examine the severity of Diagnostic and Statistical Manual of Mental Disorders, 5th Edition (DSM-5) cannabis use disorder (CUD) in sexual minorities. Drawing from current literature, we expected that bisexual individuals would have the highest prevalence of CUD and the most severe form of CUD. Methods: The National Epidemiological Survey on Alcohol and Related Conditions-III (NESARC-III; 2012-2013) provides a nationally representative adult sample (N = 36,309), including one of the largest samples of sexual minorities. The NESARC-III is large enough to compare subpopulations of sexual minorities on dimensions of substance use disorder severity. Results: Lesbians and gay men were more likely to report mild CUD, whereas bisexuals and respondents "not sure" of their sexual identity were more likely to report severe CUD when compared with heterosexuals. Sexual minorities and heterosexuals who reported lifetime use of medical cannabis had higher odds of having a severe CUD. Sexual minorities had significantly higher odds of lifetime medical cannabis use (adjusted odds ratio [AOR] = 2.39, 95% confidence interval [CI] = 1.42-3.66, P < .001) when compared with heterosexuals, with bisexuals having the highest odds (AOR = 2.81, 95% CI = 1.66-4.75, P < .001). Conclusions: Sexual minorities have the highest odds compared with heterosexuals of developing any CUD. Moreover, the higher rates of severe CUD among bisexuals and those "not sure" have implications for drug prevention with these particularly high-risk groups. It appears that lifetime medical marijuana use may play a role in the development of CUD, although more rigorous measures of medical marijuana use are needed to determine the nature of the relations.

Cannabis Use Disorder and Epilepsy: A Cross-National Analysis of 657 072 Hospitalized Patients

BACKGROUND AND OBJECTIVES

Recent evidence has suggested that cannabis use precipitates cerebrovascular events. We investigated the relationship between cannabis use disorder (CUD) and hospitalization for epilepsy.

METHODS

Nationwide inpatient sample (NIS) was analyzed from 2010 to 2014 for patients (age 15-54) with a primary diagnosis of epilepsy (N = 657 072) and comparison was made between patients with ICD-9 classification of CUD and without CUD. We utilized logistic regression to study the association (odds ratio [OR]) between CUD and epilepsy.

RESULTS

The incidence of CUD in epilepsy patients was 5.77%, and patients with CUD had a threefold higher likelihood of emergency admissions. Patients with CUD were younger (25-34 years), male and African American. In regression analysis, adjusted for confounders, cannabis (OR, 1.56), tobacco (OR, 1.20), and alcohol (OR, 1.63) use disorders were found to be associated with higher odds of epilepsy hospitalization, but lower odds with cocaine (OR, 0.953), amphetamine (OR, 0.893), and opioid (OR, 0.828) use disorders.

CONCLUSIONS AND SCIENTIFIC SIGNIFICANCE

With the increasing prevalence of medical marijuana legalization, there is increased use of medicinal marijuana. Studies of cannabidiol and marijuana for epilepsy have been highly publicized, leading to its off-label use for treatment. There is limited evidence to suggest that the cannabinoids may also induce a seizure. This study found that CUD is independently associated with a 56% increased likelihood of epilepsy hospitalization and this association persists even after adjusting for other substance use disorders and confounders. (Am J Addict 2019;28:353-360).

An update on cannabis use disorder with comment on the impact of policy related to therapeutic and recreational cannabis use

Confusion and controversy related to the potential for cannabis use to cause harm, or alternatively to provide benefit, continues globally. This issue has grown in intensity and importance with the increased recognition of the public health implications related to the escalation of the legalization of cannabis and cannabinoid products. This selective overview and commentary attempt to succinctly convey what is known about one potential consequence of cannabis use, the development of cannabis use disorder (CUD). Such knowledge may help guide a reasonable and objective public health perspective on the potential impact of cannabis use and CUD. Current scientific data and clinical observation strongly support the contention that cannabis use, like the use of other substances such as alcohol, opioids, stimulants, and tobacco, can develop into a use disorder (addiction) with important clinical consequences. Epidemiological data indicate that the majority of those who use cannabis do not have problems related to their use, but a substantial subset (10-30%) do report experiencing symptoms and consequences consistent with a CUD. Treatment seeking for CUD comprises a substantial proportion of all substance use treatment admissions, yet treatment response rates show much room for improvement. Changing cannabis policies related to its therapeutic and recreational use are likely to impact the development of CUD and its course; however, definitive data on such effects are not yet available. Clearly, the development of more effective prevention and treatment strategies is needed for those vulnerable to developing a CUD and for those with a CUD.

The prevalence of Healthcare Effectiveness Data and Information Set (HEDIS) initiation and engagement in treatment among patients with cannabis use disorders in 7 US health systems

Background: Cannabis use disorders (CUDs) have increased with more individuals using cannabis, yet few receive treatment. Health systems have adopted the Healthcare Effectiveness Data and Information Set (HEDIS) quality measures of initiation and engagement in alcohol and other drug (AOD) dependence treatment, but little is known about the performance of these among patients with CUDs. Methods: This cohort study utilized electronic health records and claims data from 7 health care systems to identify patients with documentation of a new index CUD diagnosis (no AOD diagnosis ≤60 days prior) from International Classification of Diseases, Ninth revision, codes (October 1, 2014, to August 31, 2015). The adjusted prevalence of each outcome (initiation, engagement, and a composite of both) was estimated from generalized linear regression models, across index identification settings (inpatient, emergency department, primary care, addiction treatment, and mental health/psychiatry), AOD comorbidity (patients with CUD only and CUD plus other AOD diagnoses), and patient characteristics. Results: Among 15,202 patients with an index CUD diagnosis, 30.0% (95% confidence interval [CI]: 29.2-30.7%) initiated, 6.9% (95% CI: 6.2-7.7%) engaged among initiated, and 2.1% (95% CI: 1.9-2.3%) overall both initiated and engaged in treatment. The adjusted prevalence of outcomes varied across index identification settings and was highest among patients diagnosed in addiction treatment, with 25.0% (95% CI: 22.5-27.6%) initiated, 40.9% (95% CI: 34.8-47.0%) engaged, and 12.5% (95% CI: 10.0-15.1%) initiated and engaged. The adjusted prevalence of each outcome was generally highest among patients with CUD plus other AOD diagnosis at index diagnosis compared with those with CUD only, overall and across index identification settings, and was lowest among uninsured and older patients. Conclusion: Among patients with a new CUD diagnosis, the proportion meeting HEDIS criteria for initiation and/or engagement in AOD treatment was low and demonstrated variation across index diagnosis settings, AOD comorbidity, and patient characteristics, pointing to opportunities for improvement.

Sex differences in stress reactivity after intranasal oxytocin in recreational cannabis users

Cannabis is the most widely used illicit drugs and the changing legal, political and cultural climate will likely increase cannabis use further. One factor that may underlie the transition from recreational use to problematic use is stress. The hormone oxytocin (OXT) modulates stress and may have therapeutic efficacy for substance use disorders, but few studies have examined OXT in cannabis users. Another factor is sex; although more men smoke cannabis, the transition from recreational to problematic use is faster in women. Using a within-subjects design, the effects of intranasal (i.n.) oxytocin (OXT; 40 IU) administration on stress reactivity (using the Trier Social Stress Test; TSST) and cannabis (5.6% THC) self-administration was assessed in recreational cannabis using men (n = 31) and women (n = 32) relative to i.n. placebo (PBO) and no-stress (NST) conditions. The TSST produced expected subjective and cardiovascular effects compared to the NST. However, in the i.n. OXT-TSST condition, positive subjective effects were lower and negative subjective effects were higher in women compared to PBO administration and compared to men. Further, latency to self-administer cannabis was longer in women than men and women self-administered less cannabis than men regardless of stress condition. There were no differences in cannabis craving as a function of sex, stress, or medication. These results suggest that OXT administration may lead to greater stress reactivity in recreational cannabis users, particularly women, and support growing evidence that sex differences should be carefully considered when examining the therapeutic potential of OXT.

Re-evaluation of the KMSK scales, rapid dimensional measures of self-exposure to specific drugs: Gender-specific features

BACKGROUND

The Kreek-McHugh-Schluger-Kellogg (KMSK) scales provide a rapid assessment of maximal self-exposure to specific drugs and can be used as a dimensional instrument. This study provides a re-evaluation of the KMSK scales for cannabis, alcohol, cocaine, and heroin in a relatively large multi-ethnic cohort, and also the first systematic comparison of gender-specific profiles of drug exposure with this scale.

METHODS

This was an observational study of n = 1,133 consecutively ascertained adult volunteers. The main instruments used were the SCID-I interview (DSM-IV criteria) and KMSK scales for cannabis, alcohol, cocaine, and heroin.

RESULTS

Participants were 852 volunteers (297 female) with specific DSM-IV abuse or dependence diagnoses, and 281 volunteers without any drug diagnoses (154 female). Receiver operating characteristic (ROC) curves were calculated for concurrent validity of KMSK scores with the respective DSM-IV dependence diagnoses. The areas under the ROC curves for men and women combined were 99.5% for heroin, 97% for cocaine, 93% for alcohol, and 85% for cannabis. Newly determined optimal KMSK "cutpoint" scores were identical for men and women for cocaine and heroin dependence diagnoses, but were higher in men than in women, for cannabis and alcohol dependence diagnoses.

CONCLUSIONS

This study confirms the scales' effectiveness in performing rapid dimensional analyses for cannabis, alcohol, cocaine, and heroin exposure, in a cohort larger than previously reported, with "cutpoints" changed from initial determinations, based on this larger sample. The KMSK scales also detected gender differences in self-exposure to alcohol and cannabis that are associated with the respective dependence diagnoses.

Reduced Nicotine Content Cigarettes and Cannabis Use in Vulnerable Populations

Objective: We estimated whether recent cannabis use moderates response to cigarettes varying in nicotine content (0.4, 2.4, 5.2, 15.8 mg/g) among smokers with concurrent affective disorders, opioid dependence, or socioeconomic disadvantage. Methods: We conducted a secondary analysis of a multi-site, double-blind, laboratory study examining acute response to reduced nicotine content cigarettes (RNCC) in 169 adult smokers with co-morbid conditions. Participants positive for recent cannabis use or self-reported past 30-day cannabis use at baseline were categorized as current cannabis users (N = 63). Repeated measures analysis of variance tests assessed whether baseline cannabis use moderated cigarette reinforcement, tobacco withdrawal, craving, smoking topography, or carbon monoxide boost. Results: Cannabis users were younger, less educated, and had more depression and anxiety than non-users (p < .05). Cannabis use status did not moderate the effects of nicotine dose on concurrent choice testing, subjective effects of RNCCs, or smoking topography. After adjusting for sociodemographic characteristics, cannabis users had higher ratings on Smoking Satisfaction, Enjoyment of Respiratory Tract Sensations, and Craving Reduction across all nicotine doses. Cannabis users reported longer withdrawal symptom duration and more rapid decline of carbon monoxide boost than non-users. Conclusions: Findings suggest RNCCs decrease the addiction potential of cigarettes in vulnerable populations independent of cannabis use status.

Gender-specific association of functional prodynorphin 68 bp repeats with cannabis exposure in an African American cohort

BACKGROUND

Cannabis use disorders (CUDs) cause substantial neuropsychiatric morbidity and comorbidity. There is evidence for gender-based differences in CUDs, for instance, a greater prevalence in males than in females. The main active component of cannabis is delta 9-tetrahydrocannabinol (delta 9-THC), a partial agonist of the cannabinoid type 1 receptor. Preclinical studies show that genetic or pharmacological manipulation of the kappa opioid receptor/dynorphin system modulates the effects of delta 9-THC.

METHODS

In this case-control study of adult African Americans (n=476; 206 females, 270 males), we examined the association of the functional prodynorphin 68 bp (PDYN 68 bp) promoter repeats with categorical diagnoses of cannabis dependence (Diagnostic and Statistical Manual of Mental Disorders-IV criteria), as well as with a rapid dimensional measure of maximum lifetime cannabis exposure (the Kreek-McHugh-Schluger-Kellogg cannabis scale).

RESULTS

The PDYN 68 bp genotype (examined as short-short [SS], short-long [SL], or long-long [LL], based on the number of repeats) was not significantly associated with categorical cannabis-dependence diagnoses, either in males or in females. However, in males, the PDYN 68 bp SS+SL genotype was associated with both greater odds of any use of cannabis (p<0.05) and earlier age of first cannabis use, compared to the LL genotype (ie, 15 versus 16.5 years of age; p<0.045). Males in the SS+SL group also had greater odds of high lifetime exposure to cannabis, compared to the LL group (p<0.045). Of interest, none of the aforementioned genetic associations were significant in females.

CONCLUSION

This study provides the first data on how the PDYN 68 bp genotype is associated with gender-specific patterns of exposure to cannabis. Overall, this study shows that PDYN 68 bp polymorphisms affect behaviors involved in early stages of nonmedical cannabis use and potentially lead to increasing self-exposure. These data may eventually lead to improvements in personalized medicine for the prevention and treatment of highly prevalent CUDs and neuropsychiatric comorbidities.

Non-medical Cannabis Self-Exposure as a Dimensional Predictor of Opioid Dependence Diagnosis: A Propensity Score Matched Analysis

Background: The impact of increasing non-medical cannabis use on vulnerability to develop opioid use disorders has received considerable attention, with contrasting findings. A dimensional analysis of self-exposure to cannabis and other drugs, in individuals with and without opioid dependence (OD) diagnoses, may clarify this issue. Objective: To examine the age of onset of maximal self-exposure to cannabis, alcohol, cocaine, and heroin, in volunteers diagnosed with OD, using a rapidly administered instrument (the KMSK scales). To then determine whether maximal self-exposure to cannabis, alcohol, and cocaine is a dimensional predictor of odds of OD diagnoses. Methods: This outpatient observational study examined maximal self-exposure to these drugs, in volunteers diagnosed with DSM-IV OD or other drug diagnoses, and normal volunteers. In order to focus more directly on opioid dependence diagnosis as the outcome, volunteers who had cocaine dependence diagnoses were excluded. Male and female adults of diverse ethnicity were consecutively ascertained from the community, and from local drug treatment programs, in 2002-2013 (n = 574, of whom n = 94 had OD diagnoses). The age of onset of maximal self-exposure of these drugs was examined. After propensity score matching for age at ascertainment, gender, and ethnicity, a multiple logistic regression examined how increasing self-exposure to non-medical cannabis, alcohol and cocaine affected odds of OD diagnoses. Results: Volunteers with OD diagnoses had the onset of heaviest use of cannabis in the approximate transition between adolescence and adulthood (mean age = 18.9 years), and onset of heaviest use of alcohol soon thereafter (mean age = 20.1 years). Onset of heaviest use of heroin and cocaine was detected later in the lifespan (mean ages = 24.7 and 25.3 years, respectively). After propensity score matching for demographic variables, we found that the maximal self-exposure to cannabis and cocaine, but not to alcohol, was greater in volunteers with OD diagnoses, than in those without this diagnosis. Also, a multiple logistic regression detected that increasing self-exposure to cannabis and cocaine, but not alcohol, was a positive predictor of OD diagnosis. Conclusions/Importance: Increasing self-exposure to non-medical cannabis, as measured with a rapid dimensional instrument, was a predictor of greater odds of opioid dependence diagnosis, in propensity score-matched samples.