State Cannabis Legalization and Cannabis Use Disorder in the US Veterans Health Administration, 2005 to 2019

Cannabis use disorder and severe sepsis outcomes in cancer patients: Insights from a national inpatient sample

BACKGROUND

The burden of cannabis use disorder (CUD) in the context of its prevalence and subsequent cardiopulmonary outcomes among cancer patients with severe sepsis is unclear.

AIM

To address this knowledge gap, especially due to rising patterns of cannabis use and its emerging pharmacological role in cancer.

METHODS

By applying relevant International Classification of Diseases, Ninth and Tenth Revision, Clinical Modification codes to the National Inpatient Sample database between 2016-2020, we identified CUD(+) and CUD(-) arms among adult cancer admissions with severe sepsis. Comparing the two cohorts, we examined baseline demographic characteristics, epidemiological trends, major adverse cardiac and cerebrovascular events, respiratory failure, hospital cost, and length of stay. We used the Pearson χ² d test for categorical variables and the Mann-Whitney U test for continuous, non-normally distributed variables. Multivariable regression analysis was used to control for potential confounders. A P value ≤ 0.05 was considered for statistical significance.

RESULTS

We identified a total of 743520 cancer patients admitted with severe sepsis, of which 4945 had CUD. Demographically, the CUD(+) cohort was more likely to be younger (median age = 58 vs 69, P < 0.001), male (67.9% vs 57.2%, P < 0.001), black (23.7% vs 14.4%, P < 0.001), Medicaid enrollees (35.2% vs 10.7%, P < 0.001), in whom higher rates of substance use and depression were observed. CUD(+) patients also exhibited a higher prevalence of chronic pulmonary disease but lower rates of cardiovascular comorbidities. There was no significant difference in major adverse cardiac and cerebrovascular events between CUD(+) and CUD(-) cohorts on multivariable regression analysis. However, the CUD(+) cohort had lower all-cause mortality (adjusted odds ratio = 0.83, 95% confidence interval: 0.7-0.97, P < 0.001) and respiratory failure (adjusted odds ratio = 0.8, 95% confidence interval: 0.69-0.92, P = 0.002). Both groups had similar median length of stay, though CUD(+) patients were more likely to have higher hospital cost compared to CUD(-) patients (median = 94574 dollars vs 86615 dollars, P < 0.001).

CONCLUSION

CUD(+) cancer patients with severe sepsis, who tended to be younger, black, males with higher rates of substance use and depression had paradoxically significantly lower odds of all-cause in-hospital mortality and respiratory failure. Future research should aim to better elucidate the underlying mechanisms for these observations.

Drug interactions in a sample of inpatients diagnosed with cannabis use disorder

The majority of patients with cannabis use disorder (CUD) regularly take medication. Cannabinoids influence metabolism of some commonly prescribed drugs. However, little is known about the characteristics and frequency of potential cannabis-drug (CDIs) and drug-drug interactions (DDIs) in patients with CUD. Therefore, our study aimed to determine the prevalence and characteristics of drug interactions in patients with CUD during inpatient treatment on an addiction-specific ward over a six-year-period. To this aim, medication charts were analyzed and screened for potential CDIs and DDIs. Herein, the drugs.com classification for potential CDIs and UpToDate Lexicomp program for potential DDIs were utilized. The study cohort consisted of 301 patient cases, predominantly male (85.0%), with a median age of 37 years. 89.4% (269/301) of all cases involved were taking at least one drug that could potentially interact with cannabis. Levomethadone, buprenorphine and morphine were the most common drugs involved in potentially serious CDIs. In addition, 196 DDIs were identified, of which 25.5% were classified as 'avoid combination' and 74.5% as 'consider therapy modification'. Hereby, combinations of levomethadone with other psychotropic drugs most frequently accounted for potentially severe and mild DDIs. The results of our study indicate that especially patients diagnosed with CUD also receiving opioid substitution therapy are at risk for potential drug interactions. Therefore, a clinical monitoring of vigilance and respiratory function should be applied during inpatient treatment. Routine use of interaction check tools in patients diagnosed with CUD should also be considered by healthcare providers. In addition, therapeutic drug monitoring (TDM) should be used to increase medication safety in this patient population.

Cannabis legalization and increasing cannabis use in the United States: Data from urine toxicology testing in emergency room patients

STUDY OBJECTIVES

Rates of cannabis use disorder (CUD) appear to be increasing nationally, with increases greater in states that legalized cannabis use. However, as legalization has progressed and stigma declined, some of these apparent increases could be due to greater willingness of survey respondents and patients to acknowledge cannabis involvement. Biological indicators of cannabis use overcome some concerns about trends denoted by self-report data whose validity is potentially changing over time. Our objective was to investigate the relationship between medical cannabis laws (MCL) and recreational cannabis laws (RCL) and the prevalence of cannabis-positive urine drug screens (UDS) in a large patient sample.

METHODS

Veterans Health Administration (VHA) emergency department (ED) patients aged 18-75 years with ≥1 ED visit for any reason in a given year from 2008 to 2019 were included. Staggered-adoption difference-in-difference analysis was used to estimate the association between MCL and RCL enactment on cannabis-positive UDS, fitting adjusted linear binomial regression models.

RESULTS

Adjusted cannabis-positive UDS prevalences increased from 16.4 % to 25.6 % in states with no cannabis law, 16.6 % to 27.6 % in MCL-only-enacting states, and 18.2 % to 33.8 % in RCL-enacting states. MCL-only and RCL enactment was associated with a 0.8 % (95 % CI, 0.4-1.0) and 2.9 % (95 % CI, 2.5-3.3) increase in prevalence of cannabis-positive UDS, respectively.

CONCLUSIONS

MCL and RCL enactment played a significant role in the overall increases in cannabis-positive UDS among ED patients. The increase in a biological measure of cannabis use helps reduce concerns about reporting bias as cannabis becomes increasingly legalized.

Association of State Cannabis Legalization With Cannabis Use Disorder and Cannabis Poisoning

Importance

Whether state implementation of medical and recreational cannabis laws is associated with increased cannabis use disorder (CUD) and/or cannabis poisoning among adults is not evident.

Objective

To examine state-level medical and recreational cannabis laws' associations with CUD and cannabis poisoning, overall and by sex and age subgroups.

Design, Setting, and Participants

In this longitudinal cohort study, state-level CUD and cannabis poisoning diagnoses from January 2011 to December 2021 were examined across all 50 US states and the District of Columbia before and after the implementation of medical and recreational cannabis laws (MCLs and RCLs, respectively) using a staggered adoption difference-in-differences approach. Event studies were conducted to estimate the magnitude of the association for each year-quarter relative to the time of each policy implementation. This study was conducted among all adults aged 18 to 64 years enrolled in the Merative MarketScan Commercial Claims and Encounters Database, a database of employer-sponsored health insurance enrollees, with 1 year or more of continuous enrollment from 2011 to 2021. Data analysis was performed from January to August 2024.

Exposures

State implementation of an MCL, opening a medical cannabis dispensary (MCD), allowing home cultivation of medical cannabis (HC-MC), and passage of an RCL.

Main Outcomes and Measures

CUD and cannabis poisoning diagnoses per 100 000 enrollees per quarter.

Results

This study included 110 256 536 enrollees, of whom 56 843 030 (52%) were female and the mean (SD) enrollee age was 41.0 (13.5) years. MCLs were associated with significant increases in CUD and cannabis poisoning by 31.09 (95% CI, 20.20-41.99; P < .001) and 0.76 (95% CI, 0.52-1.00; P < .001) diagnoses per 100 000 enrollees per quarter, respectively, and RCLs were associated with a significant increase in cannabis poisoning by 0.34 (95% CI, 0.19-0.48; P < .001) per 100 000 enrollees per quarter in states with RCLs compared to states without these laws. No significant associations were observed for MCDs or HC-MC. Relative increases in CUD associated with MCLs were higher among female enrollees and among enrollees aged 35 to 44 years compared with male enrollees and other age groups, respectively. Sensitivity analysis results of 2011 to 2019 data were consistent with the 2011 to 2021 results.

Conclusions and Relevance

In this longitudinal cohort study, MCLs were associated with increased CUD and cannabis poisoning diagnoses, and RCLs were associated with increased cannabis poisoning in adults aged 18 to 64 years with employer-sponsored health insurance. Communities with increased access to cannabis may experience increased health care use and costs due to increases in cannabis poisoning and CUD, and new clinical and policy interventions are needed to curb these rising diagnoses.

Changes in Incident Schizophrenia Diagnoses Associated With Cannabis Use Disorder After Cannabis Legalization

Importance

Despite public health concerns that cannabis legalization may increase the number of cases of schizophrenia caused by cannabis, there is limited evidence on this topic.

Objective

To examine changes in the population-attributable risk fraction (PARF) for cannabis use disorder (CUD) associated with schizophrenia after liberalization of medical cannabis and legalization of nonmedical cannabis in Canada.

Design, Setting, and Participants

This population-based cohort study was conducted in Ontario, Canada, from January 1, 2006, to December 31, 2022, among 13 588 681 people aged 14 to 65 years without a history of schizophrenia.

Exposures

Diagnosis of CUD in the emergency department or hospital setting (International Statistical Classification of Diseases and Related Health Problems, Tenth Revision, Canada [ICD-10-CA] codes F12x and T40.7).

Main Outcome and Measures

Changes in the PARF for CUD associated with schizophrenia (ICD-10-CA codes F20x and F25x and Diagnostic and Statistical Manual of Mental Disorders [Fourth Edition] [DSM-IV] code 295x) over 3 policy periods: prelegalization (January 2006 to November 2015), liberalization of medical and nonmedical cannabis (December 2015 to September 2018), and legalization of nonmedical cannabis (October 2018 to December 2022). A secondary outcome was diagnosis of psychosis not otherwise specified (NOS) (ICD-10-CA code F29x and DSM-IV code 298x). Segmented linear regression was used to examine changes after the liberalization of medical cannabis in 2015 and the legalization of nonmedical cannabis in 2018.

Results

The study included 13 588 681 individuals (mean [SD] age, 39.3 [16.1] years; 6 804 906 males [50.1%]), of whom 118 650 (0.9%) had CUD. A total of 91 106 individuals (0.7%) developed schizophrenia (80 523 of 13 470 031 [0.6%] in the general population without CUD vs 10 583 of 118 650 [8.9%] with CUD). The PARF for CUD associated with schizophrenia almost tripled from 3.7% (95% CI, 2.7%-4.7%) during the prelegalization period to 10.3% (95% CI, 8.9%-11.7%) during the legalization period. The PARF in the postlegalization period ranged from 18.9% (95% CI, 16.8%-21.0%) among males aged 19 to 24 years to 1.8% (95% CI, 1.1%-2.6%) among females aged 45 to 65 years. The annual incidence of schizophrenia was stable over time, while the incidence of psychosis NOS increased from 30.0 to 55.1 per 100 000 individuals (83.7%) in the postlegalization period relative to the prelegalization period. The PARF for CUD associated with schizophrenia increased steadily over the study with no accelerations after cannabis policy changes, while increases in the PARF for CUD associated with psychosis NOS accelerated after medical cannabis liberalization.

Conclusions and Relevance

In this cohort study of individuals aged 14 to 65 years in Ontario, Canada, the proportion of incident cases of schizophrenia associated with CUD almost tripled during a period of substantial liberalization of cannabis policy. Ongoing research is indicated to understand the long-term associations of cannabis policy with the prevalence of psychotic disorders.

Factors Associated With Habitual Drug Use Among Adolescents: A Secondary Data Analysis

PURPOSE

Drug use during adolescence can have lasting health consequences, and understanding the factors that contribute to drug use is essential for effective prevention. This study aimed to identify the factors influencing habitual drug use among South Korean adolescents. It employed Bronfenbrenner's ecological model to examine personal, familial, school-related, and social factors.

METHODS

The study analyzed data from the 19th Korea Youth Risk Behavior Survey for 41,928 students from 1st grade of middle school to 3rd grade of high school. Data analysis involved cross-tabulation and logistic regression for complex samples.

RESULTS

The prevalence of habitual drug use was 1.4%. Significant personal factors included smoking [adjusted odds ratio (aOR) = 2.61], alcohol consumption (aOR = 1.55), sexual intercourse (aOR = 1.45), smartphone overdependence (high-risk group aOR = 2.04, potential risk group aOR = 1.31), suicidal ideation (aOR = 2.66), depressed mood (aOR = 1.87), and loneliness (aOR = 1.88). Significant family factors included non-cohabitation with family (aOR = 1.86) and both parents being foreign-born (aOR = 3.36). Experience of violence (aOR = 2.95) was also a significant factor.

CONCLUSION

This study highlights the need for an integrated approach to prevent adolescent drug use by addressing adolescents' personal behaviors, family dynamics, and school environments. Prevention programs should account for the influence of multiple systems on habitual drug use. School and community nurses should adopt a comprehensive, multi-dimensional strategy that involves families, schools, and communities to prevent adolescent drug use. Additionally, there is a need to develop family-centered and culturally sensitive drug prevention programs for adolescents.

Cannabis legalization and changes in cannabis and tobacco/nicotine use and co-use in a national cohort of U.S. adults during 2017-2021

BACKGROUND

Little is known about whether cannabis legalization impacts cannabis use uptake or has spillover effects on co-use of cannabis and tobacco/nicotine (using both in the past 30 days). We determined associations of cannabis legalization with self-reported (1) current (past 30-day) cannabis use; (2) current ("now") tobacco/nicotine use (smoking or electronic cigarette use); and (3) current co-use of cannabis and tobacco/nicotine and how prevalence is changing over time.

METHODS

In this longitudinal study, a web-based survey was administered to a nationally representative, population-based panel of US adults in 2017, 2020, and 2021. We used weighted unadjusted binomial logistic GEE models to assess changes in prevalence of cannabis, tobacco/nicotine use and co-use and weighted, adjusted binary logistic GEE models to assess associations of cannabis legalization with cannabis, tobacco/nicotine use and co-use.

RESULTS

A total of 9003 participants (age range = 18-94, mean age = 47.9 [±17.4 SD] years; 4696 females [weighted 52.0 %]) completed the survey in 2017; 5979/8529 (70.1 %) in 2020 and 5420/7305 (74.2 %) in 2021 from the original cohort who remained available. Current cannabis use significantly increased +3.3 % between 2017 and 2021, while tobacco/nicotine use significantly declined (-1.9 %); co-use of cannabis and tobacco/nicotine did not change significantly (+0.2 %). Both medical and recreational cannabis legalization was associated with increased current cannabis use; the independent effect of recreational cannabis legalization was 1.13 times larger than medical. There were no statistically significant differences in tobacco/nicotine use and co-use prevalence by legalization status.

CONCLUSION

Cannabis legalization increases cannabis use but is not associated with changes in tobacco/nicotine use or co-use. Legalization should be coupled with public health efforts.

Cannabis policy bundles and traffic fatalities in the American States over time

BACKGROUND AND AIM

Since 1996, 38 US states have legalized access to cannabis (medical and/or adult-use recreational). We aimed to estimate the effect of three dimensions of state cannabis policy design - pharmaceutical, permissive and fiscal - on levels of overall, alcohol-impaired, occupant, light truck and pedestrian fatality rates.

DESIGN AND SETTING

Observational study of US states' overall, alcohol-impaired, occupant, light truck and pedestrian fatalities between 1994 and 2020.

CASES

The unit of analysis was at the state level, consisting of 50 states and 27 years of time series data, resulting in a total of 1350 state-year observations.

MEASUREMENTS

Fatality rates associated with alcohol-impaired, pedestrian, total occupant, passenger car and light truck fatality rates were obtained from the Fatality Analysis Reporting System of the National Highway Traffic Safety Administration and normalized per 10 billion vehicle miles traveled. State cannabis policies are measured in three bundles (scales): pharmaceutical, permissive and fiscal.

FINDINGS

The pharmaceutical bundle was associated with increases in all fatality rates [β = 0.145; 95% confidence interval (CI) = 0.116-0.173; P < 0.000]. The permissive bundle was associated with lower overall fatality rates (β = -0.319; 95% CI = -0.361 to -0.277; P < 0.000). The fiscal bundle was generally associated with higher fatality rates (β = 0.062; 95% CI = 0.043-0.081; P < 0.000), occupant (β = 0.070; 95% CI = 0.042-0.098; P < 0.000), light trucks (β = 0.049; 95% CI = 0.026-0.072; P < 0.000).

CONCLUSIONS

US state cannabis regulations influence traffic safety. Greater permissiveness in US state cannabis regulations does not appear to correlate with traffic fatality rate increases, but greater medicalization and fiscal operation does.

Association of cannabis use with patient-reported pain measures among adults with chronic pain in US states with medical cannabis programs

INTRODUCTION

Most Americans live in a state that has legalized cannabis as a medical treatment for pain, but it is unclear how chronic pain intensity relates to cannabis use. Our objective was to examine the association between patient-reported pain measures and cannabis among adults with chronic pain.

METHODS

This cross-sectional study of a representative sample of adults reporting chronic non-cancer pain in 36 states and DC with active medical cannabis programs from March to April 2022 assessed cannabis use for chronic pain, categorized as active (within 30 days), past (>31 days), or never use (referent). Measures were pain intensity (primary) and interference, Widespread Pain Index, and number of chronic pain diagnoses.

RESULTS

Among 1628 participants (57% female, 69% white), 352 (22%) actively used cannabis to treat chronic pain, 137 (8%) reported past cannabis use, and 1139 (70%) never used cannabis. In adjusted models, active cannabis use was associated with higher scores for pain intensity (score difference 1.03, 95% CI 0.05 to 2.02) and pain interference (score difference 1.82, 95% CI 0.99 to 2.65) compared with never use. Persons who actively used cannabis had higher Widespread Pain Index scores (score difference 0.56, 95% CI 0.26 to 0.86) and more chronic pain diagnoses (difference 0.45, 95% CI 0.06 to 0.83).

CONCLUSION

People with chronic non-cancer pain who used cannabis for pain reported non-clinically meaningful worse pain measures and greater burden of chronic pain conditions than their counterparts who never used cannabis. Alternatively, those with worse pain and greater burden of pain appear more likely to use cannabis.

Latent Trajectories of Persistence of Cannabis Use Across Four Decades in 329 Men From the San Diego Prospective Study

OBJECTIVE

These analyses use data from a 40-year prospective study to extend information into the sixth and seventh decades of life regarding latent trajectory classes of cannabis use and predictors of those classes.

METHOD

Data from the San Diego Prospective Study were analyzed for 329 men of European and Hispanic ethnicity who had used cannabis at about age 23 at study entry (Time 1) and who were interviewed about every 5 years through about age 60 to 70. Latent classes of cannabis use trajectories were evaluated using latent class growth analyses, baseline predictors of class membership were determined, and significant predictors of each class were established using logistic regression analyses.

RESULTS

Four latent classes were identified ranging from 12.5% with cannabis use at every follow-up to 25.8% with no use after Time 1. Eight of 14 Time 1 predictors differed significantly across the trajectory classes, including five (age, marital status, religious identity, intensity of cannabis use, and sensation seeking) that significantly contributed to regression analyses when all significant predictors were considered together.

DISCUSSION

Forty-two percent of participants continued using cannabis long-term, including one in eight who used it at every follow-up. Predictors of continued use and identification of those most likely to stop required gathering information on a range of demographic, prior substance use, and personality characteristics.

CONCLUSIONS

Considering the potential enhanced dangers of cannabis use in later life, the high rate of continued use over four decades implies that clinicians should ask all older patients about recent cannabis use, especially if they had used it in their 20s.

Unveiling the link between chronic pain and misuse of opioids and cannabis

Over 50 million Americans endure chronic pain where many do not receive adequate treatment and self-medicate to manage their pain by taking substances like opioids and cannabis. Research has shown high comorbidity between chronic pain and substance use disorders (SUD) and these disorders share many common neurobiological underpinnings, including hypodopaminergic transmission. Drugs commonly used for self-medication such as opioids and cannabis relieve emotional, bothersome components of pain as well as negative emotional affect that perpetuates misuse and increases the risk of progressing towards drug abuse. However, the causal effect between chronic pain and the development of SUDs has not been clearly established. In this review, we discuss evidence that affirms the proposition that chronic pain is a risk factor for the development of opioid and cannabis use disorders by outlining the clinical evidence and detailing neurobiological mechanisms that link pain and drug misuse. Central to the link between chronic pain and opioid and cannabis misuse is hypodopaminergic transmission and the modulation of dopamine signaling in the mesolimbic pathway by opioids and cannabis. Moreover, we discuss the role of kappa opioid receptor activation and neuroinflammation in the context of dopamine transmission, their contribution to opioid and cannabis withdrawal, along with potential new treatments.

Association Between Marijuana Laws and Suicide Among 12- to 25-Year-Olds in the United States From 2000 to 2019

OBJECTIVE

Cannabis use is associated with suicide-related outcomes in both adolescents and adults, and may be increasing amid shifting cannabis policies. However, little is known about the impact of medical marijuana legalization (MML) and recreational marijuana legalization (RML) policies on youth suicide. Using 20 years of national data, we examined associations between MML, RML, and suicide-related mortality among US individuals aged 12 to 25 years, and assessed whether they varied based on age and sex.

METHOD

Suicide deaths (N = 113,512) from the 2000-2019 National Vital Statistics System Multiple Cause of Death files for age groups 12 to 13, 14 to 16, 17 to 19, 20 to 22, and 23 to 25 years were examined in relation to time-varying cannabis law status using a staggered adoption difference-in-difference (DiD) approach with a negative binomial regression to determine associations between MML, RML, and suicide rates, controlling for individual- and state-level covariates and accounting for the varying effective dates of MML and RML by state.

RESULTS

The overall unadjusted annual suicide rate was 10.93/100,000, varying from 9.76 (states without marijuana laws (ML)) to 12.78 (MML states) to 16.68 (RML states). In multivariable analysis, both MML (incidence rate ratio [IRR] = 1.10, 95% CI: 1.05-1.15) and RML (IRR = 1.16, 95% CI: 1.06-1.27) were associated with higher suicide rates among female youth compared to those in states without ML. Youth aged 14 to 16 years had higher rates of suicide in states with RML compared to states with MML (IRR = 1.14, 95% CI: 1.00-1.30) and states without ML (IRR = 1.09, 95% CI: 1.00-1.20). Findings were consistent across sensitivity analyses.

CONCLUSION

MML and RML were associated with increased suicide-related mortality in female youth and 14- to- 16-year-old individuals of both sexes. Mechanisms through which cannabis policies are related to increased youth suicide warrant further study and should inform legislative reform.

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

OBJECTIVE

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.

METHODS

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).

RESULTS

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.

CONCLUSIONS

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 approval and perceived risk of use among minority U.S. Army Reservists

This study examined how minoritized U.S. Army Reserve/National Guard service members perceive cannabis use amid a continuously evolving societal and legal landscape in the United States. Logistic regression analyses were conducted to examine relationships between cannabis perceptions and race while considering illicit drug use norms, posttraumatic stress disorder symptomatology, and current drug use. Non-Hispanic Black soldiers had lower odds of approval for medicinal cannabis use and Hispanic soldiers had higher odds of perceived risk of cannabis use, both of which persisted when considering key covariates. These findings may be partly explained by a confluence of societal and cultural factors.

Association of Cannabis Legalization with Cannabis Positive Drug Screening in US Veterans

Background

Although cannabis legalization is associated with increases in self-report cannabis use, biological measures of cannabis use are needed to address potential bias introduced by improved self-reporting of cannabis use in states enacting medical cannabis laws (MCL) and recreational cannabis laws (RCL).

Objective

Quantify the role of MCL and RCL enactment in cannabis positive urine drug screen (UDS) prevalence among Veterans Health Administration (VHA) emergency department (ED) patients from 2008 to 2019.

Design

Staggered-adoption difference-in-difference analysis were used to estimate the role of MCL and RCL in cannabis positive UDS data, fitting adjusted linear binomial regression models to estimate the association between MCL and RCL enactment and prevalence of cannabis positive UDS.

Participants

VHA enrolled veterans aged 18-75 years with ≥1 ED visit in a given year from 2008 to 2019.

Main Measures

Receipt of ≥1 cannabis positive UDS during an ED visit were analyzed.

Key Results

From 2008 to 2019, adjusted cannabis positive UDS prevalences increased from 16.4% to 25.6% in states with no cannabis law, 16.6% to 27.6% in MCL-only enacting states, and 18.2% to 33.8% in RCL-enacting states. MCL-only and MCL/RCL enactment was associated with a 0.8% (95% CI, 0.4-1.0) and 2.9% (95% CI, 2.5-3.3) absolute increase in cannabis positive UDS, respectively. Significant effect sizes were found for MCL and RCL, such that 7.0% and 18.5% of the total increase in cannabis positive UDS prevalence in MCL-only and RCL states could be attributed to MCLs and RCLs.

Conclusions

In this study of VHA ED patients, MCL and RCL enactment played a significant role in the overall increases in cannabis positive UDS. The increase in a biological measure of cannabis use reduces concerns that previously documented increases in self-reported cannabis use from surveys are due to changes in patient willingness to report use as it becomes more legal.

Association of emergency allotment discontinuation with household food insufficiency in Supplemental Nutrition Assistance Program participants: A quasi-experimental study

OBJECTIVE

The Supplemental Nutrition Assistance Program (SNAP) was modified to mitigate food insecurity faced by low-income families during the pandemic. These changes included enhancement of SNAP benefits via 2020 emergency allotments (EA). Despite the high food price inflation in 2022, 17 states ceased providing EA benefits by end of 2022. The objective of this research is to examine the impact of EA discontinuation on food insufficiency.

METHODS

Using Household Pulse Survey data from December 2021-January 2023, SNAP participants (n = 57,556) from states that discontinued EA at some point during the study period and those from states that did not discontinue EA were included. The main analyses examined the impact of EA discontinuation on food insufficiency via staggered difference-in-difference models using two-way fixed effects (TWFE) regression. Additional analyses examined this association using Callaway-Sant'Anna approach for difference-in-difference analyses.

RESULTS

Using TWFE, EA discontinuation was significantly associated with increased food insufficiency in the overall sample, as well as in individuals who were non-Hispanic White and Hispanic, and who had annual family incomes of less than $25,000. Investigation of time-varying association of EA termination with food insufficiency suggested that EA discontinuation was significantly associated with greater food insufficiency in the second week following rollback. DiD analyses using Callaway-Sant'Anna approach suggested that states' rollback of EA was significantly associated with higher food insufficiency in non-Hispanic White individuals.

CONCLUSION

Findings imply that EA discontinuation, amidst the corresponding surge in inflation, could have contributed to increased rates of household food insufficiency.

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

BACKGROUND

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).

METHODS

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).

FINDINGS

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.

INTERPRETATION

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.

FUNDING

NIDA grant R01DA048860, New York State Psychiatric Institute, and the VA Centers of Excellence in Substance Addiction Treatment and Education.

Cannabis and Cannabinoids for Pain and Posttraumatic Stress Disorder in Military Personnel and Veterans

This Viewpoint reviews the evidence for using cannabis and cannabinoids to treat pain and PTSD in military and veteran populations.

Mental and Physical Health Conditions Among U.S. Veterans with Cannabis Use and Cannabis Use Disorders

Purpose of Review

Veterans are a large population that is disproportionately affected by various physical and mental health conditions. The primary aim of this review is to provide a concise overview of recent literature on the prevalence of cannabis use and cannabis use disorder (CUD) among US Veterans, and associations with mental and physical health conditions. We also addressed gaps in the literature by investigating associations between CUD and mental and physical health conditions in 2019 data from the Veterans Health Administration (VHA; N=5,657,277).

Recent Findings

In total, 25 studies were reviewed. In 2019, the prevalence of Veteran cannabis use ranged from 11.9%-18.7%. Cannabis use and CUD were associated with bipolar disorders, psychotic disorders, suicidality, pain conditions, and other substance use, but less consistently associated with depressive disorders, anxiety disorders, and posttraumatic stress disorder. Analyses of 2019 VHA data indicated that CUD was strongly associated with a broad array of physical and mental health conditions and mortality.

Summary

Cannabis use and CUD are prevalent and highly comorbid with other conditions among US Veterans. Harm reduction methods tailored to these populations are needed.