Substance Use Treatment Utilization Among Individuals With Substance Use Disorders in the United States During the COVID-19 Pandemic: Findings on the Role of Polysubstance Use, Criminal Justice Involvement, and Mental Illness From the National Survey on Drug Use and Health.

This study used the National Survey on Drug Use and Health to assess a nationally representative sample (N = 4596) weighted to represent 35.2 million adults with DSM-5 criteria-determined substance use disorders (SUDs). This study explored substance use treatment utilization in 2020, emphasizing populations with high vulnerability (e.g., criminal justice involvement (CJI) through parole or probation, polysubstance use, severe mental illness, and HIV/STI). Substance use treatment was broadly defined (any inpatient, outpatient/doctor's office, self-help/other for alcohol/drugs). Our results indicated that among adults with SUDs in 2020, 7 million (20%) had multiple SUDs, 1.75 million (5%) had CJI, 5.3 million (15%) had a severe mental illness, and 1.8 million (5%) had a diagnosis of HIV/STI in the last year. Only 7% of individuals with SUD sought any substance use treatment in the past year. CJI (aOR: 13.39, 95% CI: [7.82, 22.94]), serious mental illness (aOR: 3.27, 95% CI: [1.93, 5.55]), and having both 2 (aOR: 2.10, 95% CI: [1.29, 3.42]) or 3 or more SUDs (aOR: 3.46, 95% CI: [1.82, 6.58]) were all associated with a greater likelihood of receiving treatment. Marriage (aOR: 0.43, 95% CI: [0.25, 0.74]) and having an income twice the poverty threshold (aOR: 0.53, 95% CI: [0.29, 0.94]) were associated with reduced odds of receiving any substance use treatment. Compared to those 18 to 25, older individuals had increased odds (2-4 times) of receiving treatment. Interventions are crucially needed to increase access to treatment among those with SUDs.

The Role of Substance Use Disorders on Suicidal Ideation, Planning, and Attempts: A Nationally Representative Study of Adolescents and Adults in the United States, 2020.

Few nationally representative studies examine suicidality and substance use during 2020; as such, we explored the role of substance use disorders (SUDs) on suicidality among adults and adolescents in 2020. Data were derived from N = 26,084 adult participants, representing 240 million U.S. adults weighted, and N = 5,723 adolescent participants, representing 25 million U.S. adolescents (12-17 years.). Separate logistic regressions for adults and adolescents were used to assess the association of DSM-5 SUDs, related factors, and suicidal thoughts and behaviors (ideation, planning, and attempts). In 2020, adults with SUDs were nearly 4 times more likely to seriously consider suicide (aOR = 3.94, 95% CI: 3.19, 4.86), 3 times more likely to make a suicide plan (aOR = 3.09, 95% CI: 2.25, 4.25), and nearly 4 times more likely to attempt suicide (aOR = 3.77, 95% CI: 2.29, 6.19) than adults without SUDs. Adolescents with SUDs were 4 times more likely to consider suicide (aOR = 3.69, 95% CI: 2.47, 5.51), 5 times as likely to make a suicide plan (aOR = 5.14, 95% CI: 3.25, 8.13) and to attempt suicide (aOR = 5.27, 95% CI: 2.91, 9.53) than adolescents without SUDs. Adult females and individuals experiencing poverty were twice as likely to attempt suicide than adult males and individuals not living in poverty. Adolescent females were 3-5 times more likely to seriously consider, plan, and attempt suicide than adolescent males. Interventions to curb suicidality among individuals with SUDs are crucial.

Non-engagement in substance use treatment among women with an unmet need for treatment: A latent class analysis on multidimensional barriers.

BACKGROUND: Women with substance use disorders experience multifaceted barriers in accessing substance use treatment. Little is known about how these barriers may aggregate. Using a person-centered approach, this study evaluates patterns of treatment barriers and the factors associated with experiencing distinct sets of barriers among women. METHODS: Data were from the NSDUH (2015-2019). 461 adult women with an unmet need for substance use treatment in the last year reported on 14 treatment barriers. Latent class analysis examined classes of barriers; multinomial logistic regression assessed predictors of class membership. RESULTS: Three classes were identified: just not ready to abstain (71.2%), logistical barriers and stigmatization (18.2%), and barriers across all dimensions (10.6%). Higher education (aOR:1.94, p = 0.03) and psychological distress (aOR:2.19, p = 0.02) predicted higher odds-and identifying as African American predicted lower odds (aOR:0.17, p = 0.02)-of belonging to the "Logistics and Stigma Barriers" class relative to the "Just Not Ready" class. Similarly, higher education (aOR: 2.57, p = 0.02) and having children (aOR:2.28, p = 0.03) predicted higher odds-and marriage predicted lower odds (aOR:0.22, p = 0.02)-of belonging to the "High and Diverse Barriers" class relative to the "Just Not Ready" class. Having children predicted higher odds (aOR: 2.93, p = .02), and marriage predicted lower odds (aOR:0.19, p = 0.02) of belonging to the "High and Diverse Barriers" class relative to the "Logistics and Stigma" class. CONCLUSION: A lack of readiness to abstain, socioeconomic circumstances, and family obligations are main barriers to SUD treatment among women. Interventions incorporating motivational interviewing, family systems, and social networks are needed.

Medical Cannabis Laws and Adolescent Alcohol Use Initiation.

Background: The effects of medical cannabis laws (MCLs) on adolescent alcohol use remains unclear. Previous literature investigates alcohol consumption rather than alcohol initiation among adolescents, and does not examine the effect by sociodemographic characteristics and state-level dispensary status. We used population representative, state-level data to examine the relationship between MCLs and adolescent alcohol initiation. Methods: Data for this study were derived from the Youth Risk Behavior Survey (YRBS), a nationally representative, cross-sectional school-based survey administered by the Centers for Disease Control (CDC) in odd-numbered years from 1991 to 2015. We used a difference-in-difference model to assess pre and post effects of state MCL enactment on adolescent alcohol use initiation. Logistic regression analyses assessed associations between MCLs and varying ages of initiation. We further stratified our results by race/ethnicity, gender, and dispensary status. Results: Results from adjusted logistic regression models showed higher odds of initiating alcohol among adolescents in states without MCLs when compared to adolescents in states with MCLs (OR 1.37, [95% CI = 1.29, 1.44]). This effect was consistent across age, race/ethnicity, and gender groups. Reductions in self-report of alcohol initiation were also consistently found in multiple age strata (9-10, 11-12, and 13-14), though this finding did not reach conventional levels of statistical detection in all race/ethnicities. Conclusions: Our findings support a substitutive effect, suggesting that adolescents in states with MCLs, as opposed to states without MCLs, may substitute cannabis for alcohol. Considering the evolving landscape of medical cannabis laws and the proliferation of state-level legalization laws, further research into the effects of such policies, such as adult-use cannabis laws, is warranted to further elucidate their effects on adolescent substance use.

State Medical Marijuana Laws and Initiation of Cigarettes among Adolescents in the U.S., 1991-2015.

Objective: Although cigarette use has declined among adolescents, marijuana use has increased in subgroups of this population. The association between medical marijuana laws (MMLs) and cigarette initiation among adolescents, however, needs further examination. We investigated the association between MMLs and age of cigarette initiation and stratified findings by gender, race/ethnicity, and state dispensary status. Method: Data were from N=939,725 adolescents in 9th-12th grade living in 46 states who participated in the Youth Risk Behavior Surveillance System between 1991-2015. Participants were asked the age they first smoked a cigarette and other sociodemographic characteristics. States were categorized as MML states if they had legalized marijuana for medicinal purposes by 2015. We used a difference-in-difference methodology and logistic regressions to assess the relationship between MMLs and cigarette initiation. Results: Our results indicate lower odds of initiating cigarettes, in every age group (8 years old or younger, 9-10, 11-12, 13-14, 15-16, 17 years old or older) in states with MMLs when compared to non-MML states. After stratification, we find lower odds of cigarette initiation in certain age groups by gender, race/ethnicity, and state dispensary status. We report no difference in state MML implementation and age of cigarette initiation among Hispanic adolescents in every age group, and Black adolescents 8 years or younger and 17 years or older. Conclusions: Cigarette initiation has decreased among adolescents in MML states compared with those in non-MML states. Further research should evaluate how MMLs and recreational marijuana policies are associated with e-cigarette initiation and use.

Evaluating the quality of evidence for gaming disorder: A summary of systematic reviews of associations between gaming disorder and depression or anxiety.

Gaming disorder has been described as an urgent public health problem and has garnered many systematic reviews of its associations with other health conditions. However, review methodology can contribute to bias in the conclusions, leading to research, policy, and patient care that are not truly evidence-based. This study followed a pre-registered protocol (PROSPERO 2018 CRD42018090651) with the objective of identifying reliable and methodologically-rigorous systematic reviews that examine the associations between gaming disorder and depression or anxiety in any population. We searched PubMed and PsycInfo for published systematic reviews and the gray literature for unpublished systematic reviews as of June 24, 2020. Reviews were classified as reliable according to several quality criteria, such as whether they conducted a risk of bias assessment of studies and whether they clearly described how outcomes from each study were selected. We assessed possible selective outcome reporting among the reviews. Seven reviews that included a total of 196 studies met inclusion criteria. The overall number of participants was not calculable because not all reviews reported these data. All reviews specified eligibility criteria for studies, but not for outcomes within studies. Only one review assessed risk of bias. Evidence of selective outcome reporting was found in all reviews-only one review incorporated any of the null findings from studies it included. Thus, none were classified as reliable according to prespecified quality criteria. Systematic reviews related to gaming disorder do not meet methodological standards. As clinical and policy decisions are heavily reliant on reliable, accurate, and unbiased evidence synthesis; researchers, clinicians, and policymakers should consider the implications of selective outcome reporting. Limitations of the current summary include using counts of associations and restricting to systematic reviews published in English. Systematic reviewers should follow established guidelines for review conduct and transparent reporting to ensure evidence about technology use disorders is reliable.

Emergency department visits by patients with an internal medicine specialist: understanding the role of specialists in reducing ED crowding.

As emergency department (ED) crowding continues to worsen, many visits are at academic referral hospitals. As a result, engaging specialty services will be essential to decompressing the ED. To do this, it will be important to understand which specialties to focus interventions on for the greatest impact. To characterize the ED utilization of non-surgical adult patients with an ambulatory specialist who were seen and discharged from the ED. Retrospective cohort study of all consecutive patients currently under the care from a specialist presenting to an urban, university affiliated hospital between 01 January 2015 and 31 December 2016. The identification of ED visits attributable to specialists was based on the primary diagnosis of ED visits and the frequency of visit with specialists within a given timeframe. Only patients who were discharged directly from the ED were included in the analysis. There were 29,853 ED visits by patients currently under the care of a specialist during the study period. 17.76% of these visits were related to the medical specialty of the specialist. Of these visits, 41.73% occurred during office hours, and 24.81% occurred during weekends. The specialties with the largest proportion of ED visits related to their specialty was cardiology, gastroenterology, and pulmonary, respectively. Nearly 18% of all patients that have a specialist and are treated and discharged from the ED present with a diagnosis related to their specialist's practice. This may indicate that there is a role for specialty service to play in decreasing some ED utilization that may be appropriate for the out-patient clinical setting. By focusing attention on specific specialties and interventions targeted during office hours, there may be an opportunity to decrease ED utilization.