Lian Yu Chen

Service Use and Barriers to Mental Health Care Among Adults With Major Depression and Comorbid Substance Dependence

OBJECTIVE The study explored mental health service use patterns and barriers to care among individuals with comorbid mental and substance use disorders. METHODS Using data from the National Survey on Drug Use and Health (2005-2010) for 18,972 adults with past-year major depressive episodes, the study compared mental health service use and perceived barriers to care among participants with and without co-occurring alcohol dependence, nonalcohol drug dependence, and both alcohol and drug dependence. RESULTS Compared with participants without comorbid substance dependence, participants with alcohol dependence or both alcohol and nonalcohol drug dependence used more mental health services of all types, and participants with only comorbid alcohol dependence used more medication treatments. Participants with comorbid substance dependence were significantly more likely than those without comorbid substance dependence to report unmet mental health treatment need. However, barriers to mental health care were remarkably similar across groups, with financial barriers being the most common in all groups. CONCLUSIONS Participants with major depression comorbid with substance dependence used more mental health services but also perceived more unmet need for such care than individuals without such comorbidity. However, barriers to mental health care were similar across groups with and without comorbidity. Policies aimed at expanding insurance coverage and mental health parity would likely benefit individuals with major depression and substance dependence comorbidity even more than those without such comorbidity.

Comparing barriers to mental health treatment and substance use disorder treatment among individuals with comorbid major depression and substance use disorders.

Barriers to both mental health and substance use disorder treatments have rarely been examined among individuals with comorbid mental health and substance use disorders. In a sample of 393 adults with 12-month major depressive episodes and substance use disorders, we compared perceived barriers to these two types of treatments. Data were drawn from the 2005-2011 U.S. National Surveys on Drug Use and Health. Overall, the same individuals experienced different barriers to mental health treatment versus substance use disorder treatment. Concerns about negative views of the community, effects on job, and inconvenience of services were more commonly reported as reasons for not receiving substance use disorder treatment. Not affording the cost of care was the most common barrier to both types of treatments, but more commonly reported as a barrier to mental health treatment. Improved financial access through the Affordable Care Act and parity legislation and integration of mental health and substance use disorder services may help to reduce treatment barriers among individuals with comorbid mental health and substance disorders.

Gender differences in substance abuse treatment and barriers to care among persons with substance use disorders with and without comorbid major depression.

Objectives:To compare substance use disorders (SUD) treatment patterns and barriers to such treatment among men and women with SUD with and without comorbid major depressive episodes (MDE) in a community sample. Methods:Using data from adult participants in the National Survey on Drug Use and Health 2005–2010, we investigated differences by sex in the association of MDE comorbidity with SUD on patterns of, perceived unmet need for, and the perceived barriers to SUD treatments. Results:Compared with participants with SUD without MDE, both men and women with comorbid SUD and MDE were more likely to use SUD services or to report an unmet need for such treatment. Sex modified the association of comorbidity and treatment patterns: males with MDE comorbidity had a greater likelihood of emergency room visits and use of inpatient services than females. Barriers to substance treatment were remarkably similar for males and females in both the SUD without MDE group and with MDE group, with attitudinal factors being the most common barriers. Conclusions:Comorbidity with MDE seems to be an important predictor of service utilization and perceived need for SUD treatment in both men and women. The association of comorbidity with the use of some types of services, however, seems to vary according to sex. The findings have implications for the design of sex-specific SUD treatment programs.

Prescriptions, nonmedical use, and emergency department visits involving prescription stimulants.

OBJECTIVE Little is known regarding the temporal trends in prescriptions, nonmedical use, and emergency department (ED) visits involving prescription stimulants in the United States. Our aim was to examine these 3 national trends involving dextroamphetamine-amphetamine and methylphenidate in adults and adolescents. METHOD Three national surveys conducted between 2006-2011 were used: National Disease and Therapeutic Index, a survey of office-based practices; National Survey on Drug Use and Health, a population survey of substance use; and Drug Abuse Warning Network, a survey of ED visits. Ordinary least squares regression was used to examine temporal changes over time and the associations between the 3 trends. RESULTS In adolescents, treatment visits involving dextroamphetamine-amphetamine and methylphenidate decreased over time; nonmedical dextroamphetamine-amphetamine use remained stable, while nonmedical methylphenidate use declined by 54.4% in 6 years. ED visits involving either medication remained stable. In adults, treatment visits involving dextroamphetamine-amphetamine remained unchanged, while nonmedical use went up by 67.1% and ED visits went up by 155.9%. These 3 trends involving methylphenidate remained unchanged. Across age groups, the major source for nonmedical use of both medications was a friend or relative; two-thirds of these friends and relatives had obtained the medication from a physician. CONCLUSIONS Trends in prescriptions for stimulants do not correspond to trends in reports of nonmedical use and ED visits. Increased nonmedical stimulant use may not be simply attributed to increased prescribing trends. Future studies should focus on deeper understanding of the proportion of, risk factors for, and motivations for drug diversions.

Racial/Ethnic Differences in Insomnia Trajectories Among U.S. Older Adults

OBJECTIVES Insomnia is reported to be more prevalent in minority racial/ethnic groups. Little is known, however, about racial/ethnic differences in changes in insomnia severity over time, particularly among older adults. We examined racial/ethnic differences in trajectories of insomnia severity among middle-aged and older adults. DESIGN Data were drawn from five waves of the Health and Retirement Study (2002-2010), a nationally representative longitudinal biennial survey of adults aged > 50 years. SETTING Population-based. PARTICIPANTS 22,252 participants from non-Hispanic white, non-Hispanic black, Hispanic, and other racial/ethnic groups. MEASUREMENTS Participants reported the severity of four insomnia symptoms; summed scores ranged from 4 (no insomnia) to 12 (severe insomnia). We assessed change in insomnia across the five waves as a function of race/ethnicity. RESULTS Across all participants, insomnia severity scores increased 0.19 points (95% CI: 0.14-0.24; t = 7.52; design df = 56; p < 0.001) over time after adjustment for sex, race/ethnicity, education, and baseline age. After adjusting for the number of accumulated health conditions and body mass index, this trend decreased substantially and even changed direction (B = -0.24; 95% CI: -0.29 to -0.19; t = -9.22; design df = 56; p < 0.001). The increasing trajectory was significantly more pronounced in Hispanics compared with non-Hispanic whites, even after adjustment for number of accumulated health conditions, body mass index, and number of depressive symptoms. CONCLUSIONS Although insomnia severity increases with age-largely due to the accumulation of health conditions-this trend appears more pronounced among Hispanic older adults than in non-Hispanic whites. Further research is needed to determine the reasons for a different insomnia trajectory among Hispanics.

Correlates of nonmedical use of stimulants and methamphetamine use in a national sample

BACKGROUND Despite chemical similarities, ADHD stimulants and methamphetamine have distinct use patterns in the community. This study compared the characteristics of nonmedical ADHD stimulants users and methamphetamine users in a household sample. METHODS In data from the 2009-2011 National Survey on Drug Use and Health, adult and adolescent stimulant users were categorized into three mutually exclusive subgroups: nonmedical ADHD stimulant users only (STM users), methamphetamine users (METH users), and both nonmedical ADHD stimulant and methamphetamine users (STM/METH users). Multivariate logistic regression analyses identified the substance comorbidity, mental health, and deviant behavior characteristics associated with these three groups. RESULTS Compared to adolescent STM users, STM/METH users were more likely to be female, younger and uninsured while METH users were more likely to be younger, in a minority group and from a higher-income family. Compared to adult STM users, METH and STM/METH users were more likely to be male, older, uninsured, no longer married, and to be from rural areas. Adolescent METH users were more likely than STM users to report illegal drug use while adult METH users were less likely to report prescription drug use than their STM user counterparts. Overall, adult and adolescent STM/METH users were more likely to report substance use, mental health problems and deviant behaviors compared to STM users. CONCLUSION The characteristics of STM users differ from METH and STM/METH users, and their associations with substance use and psychiatric comorbidities differ by age. Findings have implications for understanding the risks for stimulant use in different age subgroups.

Sources of nonmedically used prescription stimulants: differences in onset, recency and severity of misuse in a population-based study.

AIM Epidemiological data indicate that nonmedical use of prescription stimulants has increased over the past decade. However, little is known regarding the source of the misused stimulants and whether different sources correspond to differences in risk profiles and associated social and health problems. METHOD Data from the 2006 to 2011 National Survey on Drug Use and Health were used. A total of 4945 participants who used prescription stimulants nonmedically and also reported their source of misused stimulants were categorized by the source: friend/relative, physician and illegal. Logistic regression models compared the socio-demographic, mental health and behavioral problems, and stimulant use-related problems (onset, recency, frequency, severity) according to the source of the misused stimulants. RESULTS The most common sources of stimulants were friends/relatives, followed by physicians and illegal sources. Compared to participants reporting friends/relatives as the source, participants reporting an illegal source were more likely to be male, unemployed, have less than a high school education, a history of criminal behavior and an earlier age of use onset. Participants reporting a physician source were more likely to have mental health problems and mental health service use. Higher odds of past-month stimulant use, frequent use (≥ 10 days per year), drug dependence and substance service use were found in individuals reporting physician and illegal sources. CONCLUSIONS Identifying the source of misused stimulants may be useful in detecting distinct subgroups of nonmedical prescription stimulant users, which may inform development of tailored prevention and treatment programs and contribute to individual treatment planning.

Patterns of concurrent substance use among adolescent nonmedical ADHD stimulant users

OBJECTIVES There are growing concerns about nonmedical use of ADHD stimulants among adolescents; yet, little is known whether there exist heterogeneous subgroups among adolescents with nonmedical ADHD stimulant use according to their concurrent substance use. METHODS We used latent class analysis (LCA) to examine patterns of past-year problematic substance use (meeting any criteria for abuse or dependence) in a sample of 2203 adolescent participants from the National Surveys on Drug Use and Health 2006-2011 who reported past-year nonmedical use of ADHD stimulants. Multivariable latent regression was used to assess the association of socio-demographic characteristics, mental health and behavioral problems with the latent classes. RESULTS The model fit indices favored a four-class model, including a large class with frequent concurrent use of alcohol and marijuana (Alcohol/marijuana class; 41.2%), a second large class with infrequent use of other substances (Low substance class, 36.3%), a third class characterized by more frequent misuse of prescription drugs as well as other substances (Prescription drug+class; 14.8%), and finally a class characterized by problematic use of multiple substances (Multiple substance class; 7.7%). Compared with individuals in Low substance class, those in the other three classes were all more likely to report mental health problems, deviant behaviors and substance abuse service use. CONCLUSIONS Adolescent nonmedical ADHD stimulants users are a heterogeneous group with distinct classes with regard to concurrent substance use, mental health and behavioral problems. The findings have implications for planning of tailored prevention and treatment programs to curb stimulant use for this age group.

Sex and Age Differences in Risk Factors of Marijuana Involvement During Adolescence

Objectives: We aimed to examine whether there are sex and age differences in psychosocial risk factors of marijuana use during adolescence. Methods: Data were drawn from 57,767 adolescents (8th and 10th graders) from the 2012 to 2013 monitoring the future study. We examined the association between sociodemographic and behavioral correlates with different frequencies of past-year marijuana use (nonuse, occasional use: <10 time, frequent use: 10 to 39 times, and regular use: 40+ times). We further investigated whether these associations were similar for boys and girls of different ages. Results: Overall, 20.6% of the adolescents reported past-year marijuana use: 12.1% occasional use, 4.3% frequent use, and 3.8% regular use. Girls were less likely to be frequent and regular marijuana users [frequent use: odds ratio=0.83 (0.75, 0.93); regular use: odds ratio=0.41 (0.36, 0.48)] whereas no sex difference was noted for occasional use. Also, the odds of deviant behaviors were higher as the frequencies of marijuana use were higher. Compared to younger girls, older boys and girls had higher association between all levels of marijuana use and low self-esteem, low perceived harm, peer influence and perceived easy access. Besides, younger boys were more likely than younger girls to report an association between regular marijuana use with low self-esteem, peer influence, and perceived easy access but not with perceived low harm. Conclusions/Importance: Findings suggest the relationship between these psychosocial correlates and frequency of marijuana involvement varies across sex and age groups. These variations ask for a nuanced approach to prevention of marijuana involvement in different groups of youth.