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Zachary L Mannes,1 Larry E Burrell II,1 Erin G Ferguson,1 Zhi Zhou,2,3 Huiyin Lu,4,5 Charurut Somboonwit,6 Robert L Cook,2,3 Nicole Ennis1 1Department of Clinical and Health Psychology, College of Public Health and Health Professions, University of Florida, Gainesville, FL, USA; 2Department of Epidemiology, College of Public Health and Health Professions, 3Department of Epidemiology, College of Medicine, University of Florida, Gainesville, FL, USA; 4Department of Biostatistics, College of Public Health and Health Professions, 5Department of Biostatistics, College of Medicine, University of Florida, Gainesville, Florida, USA; 6Department of Internal Medicine, Morsani College of Medicine, University of South Florida, Tampa, FL, USA Purpose: Marijuana use is common among people living with HIV (PLWH), but its association with antiretroviral therapy (ART) adherence is unclear. This study examined the association between reason for marijuana use and ART adherence in a sample of adults living with HIV. Patients and methods: Participants (N=703) recruited from seven community health centers in Florida completed a 45-minute questionnaire assessing demographics, symptoms of anxiety and depression, ART adherence, and substance use, including reasons for marijuana use. ART adherence was defined as the proportion of days in the last 30 days participants did not miss any medication and dichotomized as optimal (≥95%) and suboptimal (

Importance: Cannabis use disorder (CUD) is increasing among US adults. Few national studies have addressed the role of medical cannabis laws (MCLs) and recreational cannabis laws (RCLs) in these increases, particularly in patient populations with high rates of CUD risk factors., Objective: To quantify the role of MCL and RCL enactment in the increases in diagnosed CUD prevalence among Veterans Health Administration (VHA) patients from 2005 to 2019., Design, Setting, and Participants: Staggered-adoption difference-in-difference analyses were used to estimate the role of MCL and RCL in the increases in prevalence of CUD diagnoses, fitting a linear binomial regression model with fixed effects for state, categorical year, time-varying cannabis law status, state-level sociodemographic covariates, and patient age group, sex, and race and ethnicity. Patients aged 18 to 75 years with 1 or more VHA primary care, emergency department, or mental health visit and no hospice/palliative care within a given calendar year were included. Time-varying yearly state control covariates were state/year rates from American Community Survey data: percentage male, Black, Hispanic, White, 18 years or older, unemployed, income below poverty threshold, and yearly median household income. Analysis took place between February to December 2022., Main Outcomes and Measures: As preplanned, International Classification of Diseases, Clinical Modification, ninth and tenth revisions, CUD diagnoses from electronic health records were analyzed., Results: The number of individuals analyzed ranged from 3 234 382 in 2005 to 4 579 994 in 2019. Patients were largely male (94.1% in 2005 and 89.0% in 2019) and White (75.0% in 2005 and 66.6% in 2019), with a mean (SD) age of 57.0 [14.4] years. From 2005 to 2019, adjusted CUD prevalences increased from 1.38% to 2.25% in states with no cannabis laws (no CLs), 1.38% to 2.54% in MCL-only enacting states, and 1.39% to 2.56% in RCL-enacting states. Difference-in-difference results indicated that MCL-only enactment was associated with a 0.05% (0.05-0.06) absolute increase in CUD prevalence, ie, that 4.7% of the total increase in CUD prevalence in MCL-only enacting states could be attributed to MCLs, while RCL enactment was associated with a 1.12% (95% CI, 0.10-0.13) absolute increase in CUD prevalence, ie, that 9.8% of the total increase in CUD prevalence in RCL-enacting states could be attributed to RCLs. The role of RCL in the increases in CUD prevalence was greatest in patients aged 65 to 75 years, with an absolute increase of 0.15% (95% CI, 0.13-0.17) in CUD prevalence associated with RCLs, ie, 18.6% of the total increase in CUD prevalence in that age group., Conclusions and Relevance: In this study of VHA patients, MCL and RCL enactment played a significant role in the overall increases in CUD prevalence, particularly in older patients. However, consistent with general population studies, effect sizes were relatively small, suggesting that cumulatively, laws affected cannabis attitudes diffusely across the country or that other factors played a larger role in the overall increases in adult CUD. Results underscore the need to screen for cannabis use and CUD and to treat CUD when it is present.

Objective: In the United States, adult cannabis use has increased over time, but less information is available on time trends in cannabis use disorder. The authors used Veterans Health Administration (VHA) data to examine change over time in cannabis use disorder diagnoses among veterans, an important population subgroup, and whether such trends differ by age group (<35 years, 35-64 years, ≥65 years), sex, or race/ethnicity., Methods: VHA electronic health records from 2005 to 2019 (range of Ns per year, 4,403,027-5,797,240) were used to identify the percentage of VHA patients seen each year with a cannabis use disorder diagnosis (ICD-9-CM, January 1, 2005-September 30, 2015; ICD-10-CM, October 1, 2015-December 31, 2019). Trends in cannabis use disorder diagnoses were examined by age and by race/ethnicity and sex within age groups. Given the transition in ICD coding, differences in trends were tested within two periods: 2005-2014 (ICD-9-CM) and 2016-2019 (ICD-10-CM)., Results: In 2005, the percentages of VHA patients diagnosed with cannabis use disorder in the <35, 35-64, and ≥65 year age groups were 1.70%, 1.59%, and 0.03%, respectively; by 2019, the percentages had increased to 4.84%, 2.86%, and 0.74%, respectively. Although the prevalence of cannabis use disorder was consistently higher among males than females, between 2016 and 2019, the prevalence increased more among females than males in the <35 year group. Black patients had a consistently higher prevalence of cannabis use disorder than other racial/ethnic groups, and increases were greater among Black than White patients in the <35 year group in both periods., Conclusions: Since 2005, diagnoses of cannabis use disorder have increased substantially among VHA patients, as they have in the general population and other patient populations. Possible explanations warranting investigation include decreasing perception of risk, changing laws, increasing cannabis potency, stressors related to growing socioeconomic inequality, and use of cannabis to self-treat pain. Clinicians and the public should be educated about the increases in cannabis use disorder in general in the United States, including among patients treated at the VHA.

Background: In DSM-5, definitions of substance use disorders (SUD) were changed considerably from DSM-IV, yet little is known about how well DSM-IV and DSM-5 SUD diagnoses agree among substance users. Because data from many studies are based on DSM-IV diagnostic criteria, understanding the agreement between DSM-5 and DSM-IV SUD diagnoses and reasons for discordance between these diagnoses is crucial for comparing results across studies., Measurements: Prevalences and chance-corrected agreement of DSM-5 SUD and DSM-IV substance dependence were evaluated in 588 substance users in a suburban inpatient addiction program and an urban medical center, using a semi-structured interview (PRISM-5). Alcohol, tobacco, cannabis, cocaine, heroin, opioid, sedative, and stimulant use disorders were examined. Cohen's kappa was used to assess agreement between DSM-5 and DSM-IV SUD (abuse or dependence), DSM-5 SUD and DSM-IV dependence, and DSM-5 moderate/severe SUD and DSM-IV dependence., Results: Agreement between DSM-5 and DSM-IV SUD was excellent for all substances (κ = 0.84-0.99), except for cannabis and tobacco (κ = 0.75; 0.80, respectively). The most common reason for diagnostic discrepancies was a positive DSM-5 SUD diagnosis but no DSM-IV diagnosis, due to the lowered DSM-5 SUD threshold. Agreement between DSM-5 SUD and DSM-IV dependence was excellent for all substances (κ = 0.88-0.94), except for alcohol, tobacco, and cannabis (κ = 0.63-0.75). Agreement between moderate/severe DSM-5 SUD and DSM-IV dependence was excellent across all substances., Conclusion: While care should be used in interpreting results of studies using different methods, studies relying on DSM-IV or DSM-5 SUD diagnostic criteria offer similar information and thus can be compared when accumulating a body of evidence., (Copyright © 2021. Published by Elsevier B.V.)

Background: People living with HIV (PLHIV) are more likely to suffer from pain compared to the general public. Pain often clusters with mental health symptoms and substance use. This study sought to evaluate mental health and substance use factors associated with any pain and severe pain intensities among PLHIV., Methods: Data were derived from HIV+ adults (N = 733) recruited from community health centers across Florida who completed questionnaires regarding demographics, chronic pain, HIV clinical outcomes, mental health symptoms, and substance use information. Pain was assessed using the Brief Pain Inventory (BPI) short form. Multivariate logistic regression analysis was utilized to assess the relationship between selected covariates and pain., Results: Approximately half (45.0%) of participants reported having any current pain while 16.1% reported severe pain. The odds of having any current pain were 2.49 (CI 95% 1.48, 4.18, p <  0.01) times greater among PLHIV reporting anxiety and 1.69 (CI 95% 1.11, 2.57, p = 0.01) times greater among PLHIV reporting PTSD compared to those without those factors. The odds of having severe pain were 2.03 (CI 95% 1.03, 4.01, p = 0.04) times greater among PLHIV reporting anxiety and 2.02 (CI 95% 1.26, 3.24, p <  0.01) times greater among female participants compared to PLHIV without those factors respectively. Factors including depression, alcohol consumption, and marijuana use were not statistically associated with any current pain nor with severe pain., Conclusion: The relationship between pain and mental health is complex. Thus, future research is needed to determine if pain treatments may reduce mental health symptoms or if treatments can be targeted to address both issues simultaneously.

The current study examined the association between perceived social support, depressive symptoms and alcohol use among people living with HIV (PLWH) 50 and older who identified as Black. Participants included 96 men and women ages 50 and older. Participants completed an interviewer-administered assessment examining mental and behavioral health functioning. Mediation analyses examined whether perceived support mediated the association between depressive symptoms and hazardous drinking. Depressive symptoms were significantly associated with hazardous drinking (B = .068, SE = .035, t = 1.92, p = 0.05) and negatively associated with having the desired amount of contact with a primary supporter (B = -.072, SE = .018, z = -3.96, p < 0.001). In addition, having the desired amount of contact with a confidant was negatively associated with hazardous drinking (B = -.543, SE = .208, t = -2.61, p 0 < .01). The effect of depressive symptoms on hazardous drinking when controlling for having adequate contact with a primary supporter was not significant (B = .033, SE = .04, t = .829, p = 0.41). Having a valued confidant mediated the association between depressive symptoms and hazardous drinking. Thus, social support interventions may be an effective method of reducing hazardous drinking among older PLWH.