Risk For Substance Use Disorders Research Articles

Racial/Ethnic Differences in the Effects of Adverse Childhood Experiences on Substance Misuse among Justice-Involved Children

Background: Adverse childhood experiences (ACEs) are linked to substance use (SU) and substance use disorders (SUD). However, this relationship has yet to be tested among justice-involved children (JIC), and it is unclear if racial/ethnic differences exist. This study aimed to determine: (1) whether ACEs are associated with increased risk of SU and SUD among JIC; and (2) if the effects of ACEs on SU and SUD are moderated by race/ethnicity. Methods: Bivariate and multivariate logistic regression analyses were employed to examine a statewide dataset of 79,960 JIC from the Florida Department of Juvenile Justice. Marginal odds were estimated to examine how race moderates the relationship between ACEs and SU and SUD. Results: Results showed higher ACEs scores were linked to SU and SUD. Black JIC were 2.46 times more likely, and Latinx JIC were 1.40 times more likely to report SU than white JIC. Specifically, Black and Latinx JIC with a higher average ACEs score were more likely to report SU but less likely to have ever been diagnosed with a SUD when compared to white JIC with equivalent ACEs. Conclusions: Study results highlight the need to develop trauma-informed and culturally appropriate interventions for SU and SUD among JIC.

Behavioral phenotypes revealed during reversal learning are linked with novel genetic loci in diversity outbred mice

Impulsive behavior and impulsivity are heritable phenotypes that are strongly associated with risk for substance use disorders. Identifying the neurogenetic mechanisms that influence impulsivity may also reveal novel biological insights into addiction vulnerability. Our past studies using the BXD and Collaborative Cross (CC) recombinant inbred mouse panels have revealed that behavioral indicators of impulsivity measured in a reversal-learning task are heritable and are genetically correlated with aspects of intravenous cocaine self-administration. Genome-wide linkage studies in the BXD panel revealed a quantitative trait locus (QTL) on chromosome 10, but we expect to identify additional QTL by testing in a population with more genetic diversity. To this end, we turned to Diversity Outbred (DO) mice; 392 DO mice (156 males, 236 females) were phenotyped using the same reversal learning test utilized previously. Our primary indicator of impulsive responding, a measure that isolates the relative difficulty mice have with reaching performance criteria under reversal conditions, revealed a genome-wide significant QTL on chromosome 7 (max LOD score = 8.73, genome-wide corrected p<0.05). A measure of premature responding akin to that implemented in the 5-choice serial reaction time task yielded a suggestive QTL on chromosome 17 (max LOD score = 9.14, genome-wide corrected <0.1). Candidate genes were prioritized (2900076A07Rik, Wdr73 and Zscan2) based upon expression QTL data we collected in DO and CC mice and analyses using publicly available gene expression and phenotype databases. These findings may advance understanding of the genetics that drive impulsive behavior and enhance risk for substance use disorders.

Clozapine, antipsychotic polytherapy reduce SUD risk in patients with schizophrenia

Among antipsychotics, clozapine was associated with the lowest risk of developing an initial substance use disorder (SUD) in patients with schizophrenia, a study based on data from two national cohorts has found. In patients with schizophrenia and a comorbid SUD, use of clozapine, antipsychotic polytherapy, and long‐acting injectable (LAI) antipsychotics were associated with the lowest risk of relapse to substance use. Study results were published online Aug. 25, 2022, in The British Journal of Psychiatry.

Addictive disorders, psychiatric symptoms, and potentially traumatic events in individuals with disabilities.

Background/ObjectivesIndividuals with disabilities (IWD) have a higher risk of potentially traumatic events (PTEs) either in childhood or adulthood, increasing the risk of suicide attempts, mental disorders, and substance use disorder. The aim of this study was to explore the association between substance use, psychiatric symptoms and suicidal behavior with PTEs. A Multisite cross-sectional study was conducted.Materials and methodsThe sample includes 1,098 participants with any type of disability (motor, intellectual, visual, and mixed) located in Mexico City. Traumatic events, violence, discrimination, addictive disorders, and psychiatric disorders were examined. Multivariate logistic regression models were conducted. Data was collected between September–October 2014.ResultsPeople with motor or visual disability have a higher prevalence in nicotine use disorder (NUD), generalize anxiety disorder (GAD), mayor depression disorder (MDD), want to be dead, and lifetime suicide attempts. Intellectual disability group only presents GAD and MDD. All disability groups have a high prevalence of PTEs. Verbal violence in childhood, sexual abuse, discrimination and serious accidents had a strong impact in the development of NUD, psychiatric symptoms and suicidal behavior.ConclusionThese findings show the relevance of develop specific tools for detection, referral and treatment, in order to improve the mental health of people with disabilities.

Clinical, environmental, and genetic risk factors for substance use disorders: characterizing combined effects across multiple cohorts.

Substance use disorders (SUDs) incur serious social and personal costs. The risk for SUDs is complex, with risk factors ranging from social conditions to individual genetic variation. We examined whether models that include a clinical/environmental risk index (CERI) and polygenic scores (PGS) are able to identify individuals at increased risk of SUD in young adulthood across four longitudinal cohorts for a combined sample of N = 15,134. Our analyses included participants of European (NEUR = 12,659) and African (NAFR = 2475) ancestries. SUD outcomes included: (1) alcohol dependence, (2) nicotine dependence; (3) drug dependence, and (4) any substance dependence. In the models containing the PGS and CERI, the CERI was associated with all three outcomes (ORs = 01.37-1.67). PGS for problematic alcohol use, externalizing, and smoking quantity were associated with alcohol dependence, drug dependence, and nicotine dependence, respectively (OR = 1.11-1.33). PGS for problematic alcohol use and externalizing were also associated with any substance dependence (ORs = 1.09-1.18). The full model explained 6-13% of the variance in SUDs. Those in the top 10% of CERI and PGS had relative risk ratios of 3.86-8.04 for each SUD relative to the bottom 90%. Overall, the combined measures of clinical, environmental, and genetic risk demonstrated modest ability to distinguish between affected and unaffected individuals in young adulthood. PGS were significant but added little in addition to the clinical/environmental risk index. Results from our analysis demonstrate there is still considerable work to be done before tools such as these are ready for clinical applications.

2.46 Alterations in Frontostriatal Regional Homogeneity in Individuals at High Risk for Substance Use Disorders

Nearly 10% of Americans will suffer from a substance use disorder (SUD) in their lifetime. Prior work has shown that individuals at risk for SUDs show dysfunction in frontostriatal responsiveness to reward and in connectivity between frontostriatal regions. However, very little work to date has investigated alterations in local connectivity within frontostriatal regions that are associated with risk for SUDs.

1.15 Profiles of HIV-Related Knowledge and Neurocognitive Factors in At-Risk Adolescents

Risky decisions in youth can increase the risk for substance use as well as acquisition of sexually transmitted diseases, including HIV. Understanding how HIV/AIDS-related knowledge and perceptions and neurocognitive factors underlying risky decision making combine within distinct risk profiles may help identify youth for tailored prevention strategies. Latent profile analysis (LPA) was used to explore profiles among 124 youth at elevated risk for substance use disorder, ages 11 to 13 years (32.2% girls, 65.3% boys; 32.3% African American, 58.1% White, 9.7% Multiracial).

33.3 Effects of Adversity on Trajectories of Substance Use Disorder Development in Drug-Naïve Youth With Family Loading for Substance Use Disorder

The impact of social adversity on brain plasticity and physiology is posited, albeit with limited evidence, as a potential risk factor for the development of substance use disorders (SUD). Neuroimaging research has linked not only parental education and income to morphological brain abnormalities but also abnormal reward processing to family history (FH) and the development of SUD in adolescents. However, because not all individuals with FH for SUD go on to develop SUD, it is imperative to identify the ones that are at high risk (HR) for SUD, which could be related to possible unique interactions of social adversity and predisposing brain states conferred by FH.

Parsing genetically influenced risk pathways: genetic loci impact problematic alcohol use via externalizing and specific risk

Genome-wide association studies (GWAS) identify genetic variants associated with a trait, regardless of how those variants are associated with the outcome. Characterizing whether variants for psychiatric outcomes operate via specific versus general pathways provides more informative measures of genetic risk. In the current analysis, we used multivariate GWAS to tease apart variants associated with problematic alcohol use (ALCP-total) through either a shared risk for externalizing (EXT) or a problematic alcohol use-specific risk (ALCP-specific). SNPs associated with ALCP-specific were primarily related to alcohol metabolism. Genetic correlations showed ALCP-specific was predominantly associated with alcohol use and other forms of psychopathology, but not other forms of substance use. Polygenic scores for ALCP-total were associated with multiple forms of substance use, but polygenic scores for ALCP-specific were only associated with alcohol phenotypes. Polygenic scores for both ALCP-specific and EXT show different patterns of associations with alcohol misuse across development. Our results demonstrate that focusing on both shared and specific risk can better characterize pathways of risk for substance use disorders. Parsing risk pathways will become increasingly relevant as genetic information is incorporated into clinical practice.

Intersections between environmental reward availability, loss aversion, and delay discounting as potential risk factors for cigarette smoking and other substance use

Behavioral theory suggests that density of environmental rewarding activities and biases in decision making influence risk for substance use disorder (SUD). To better understand intersections of these potential risk factors, this study examined whether environmental reward predicted smoking status or other drug use and whether such associations were independent of two decision-making biases known to predict SUD risk, namely loss aversion and delay discounting. Individuals that reported current daily cigarette smoking (n = 186; >10 cigarettes/day) and never-smoking (n = 241; <100 cigarettes lifetime) were recruited with standard crowdsourcing methods. Participants answered questions on alcohol and other drug use. Environmental reward was assessed using the Reward Probability Index (RPI), and loss aversion (LA) and delay discounting (DD) using a gamble-acceptance task and monetary choice questionnaire, respectively. Associations of RPI, LA, and DD with cigarette smoking, alcohol use, other drug use, and combinations of co-use were examined with logistic regression controlling for sociodemographic variables (educational attainment, gender, age). Low RPI (odds ratio[OR] = 0.97, p = .006), low LA (OR = 1.22, p < .001), and high DD (OR = 1.12, p = .03), were each independently associated with increased risk for cigarette smoking, as well as other substance use, and use combinations. We saw no evidence that RPI was significantly influencing associations between LA and DD with smoking status or other substance use. Finally, RPI, but not LA or DD, was significantly associated with depressed mood and sleep disturbance. These results provide new evidence on associations of RPI with smoking status and other substance use while further documenting independent associations between LA and DD and those outcomes.

Rates, Patterns, and Predictors of Follow-up Care for Adolescents at Risk for Substance Use Disorder in a School-Based Health Center SBIRT Program

PurposeTo examine rates, patterns, and predictors of follow-up care for adolescents screened as being at risk for substance use disorder (SUD) in a school-based health center (SBHC) Screening, Brief Intervention and Referral to Treatment (SBIRT) program. MethodsElectronic health records were extracted of adolescents who received health care services from one of three high school-based health centers implementing SBIRT. Patterns and predictors of engagement in follow-up care within 8 weeks following the week of a positive SUD risk screen were analyzed using item response theory (IRT) modeling. ResultsOut of 1,327 adolescents receiving SBHC services, 81.2% completed a health screening questionnaire. Of screened adolescents, 17.7% were positive for SUD risk. Across the 8-week follow-up period, 65.4% of adolescents at risk for SUD received at least one follow-up visit. IRT modeling indicated that high levels of engagement in follow-up care were characterized by contact with a behavioral health care (BHC) provider. The percentage of adolescents having follow-up contact with a BHC provider increased significantly after the onset of the COVID-19 pandemic. Engagement in follow-up care was predicted by risk for depression, history of suicidal behavior, being female, and previous sexual activity. DiscussionSBHCs provide a favorable setting for screening and detecting adolescents at risk for SUD. Adolescents at risk for SUD should receive follow-up contact with a BHC provider. Enhanced follow-up engagement efforts may be warranted for adolescents at risk for SUD without risk for depression or suicidal history, as well as for females and those with previous sexual activity.

Gender differences in the stress-buffering effects of mindfulness facets on substance use among low-income adolescents

Problematic substance use during adolescence predicts numerous adverse outcomes, including increased risk of substance use disorders in adulthood. Adolescents often use substances to cope with stress, particularly adolescents who have experienced environmental stress in childhood (e.g., low-income environments), but research indicates stress-related substance use disorders may develop differently across gender. This highlights a need to identify coping resources for stress-related substance use and understand whether these coping resources are differentially effective across gender. Mindfulness has garnered evidence as a coping resource for stress-related problematic substance use; however, there is limited research on how specific mindfulness facets (e.g., nonjudgment) may buffer against stress-related substance use among adolescents. This study examined whether overall mindfulness and specific facets buffered the association between stress and substance use differentially across gender in a predominantly low-income, racially-diverse (42 % Black, 24 % White, 15 % Hispanic/Latinx, 13 % Asian, 3 % American Indian/Alaskan Native, and 3 % multiracial) sample of adolescents (n = 212) using moderated moderation models. Girls with lower levels of two mindfulness facets (i.e., acceptance/nonjudgement, decentering/nonreactivity), relative to girls with higher levels, demonstrated a greater probability of substance use with increased stress. Conversely, boys with higher levels of acceptance/nonjudgement and decentering/nonreactivity, relative to boys with lower levels, reported a greater probability of substance use with increased stress. Results suggest that acceptance/nonjudgment and decentering/nonreactivity may be protective against stress-related substance use for girls and potentially contraindicated for boys, indicating that adolescent substance use prevention and intervention efforts may need to be tailored by gender.

Increased use of psychoactive substances among Brazilian health care professionals during the COVID-19 pandemic

This study aimed to estimate the prevalence of increased psychoactive substance use (PSU) and associated factors among health care professionals. A cross-sectional and analytical study with 12,086 Brazilian health professionals was undertaken. An online questionnaire was used to gather data concerning sociodemographic factors, increased consumption of alcoholic beverages, tobacco, and hypnotics or sedatives during the COVID-19 pandemic. The prevalence of tobacco, alcoholic beverages, and hypnotic or sedative consumption were 17.8 %, 69.0 % and 17.1 %, respectively. Regression analyses indicated that having no religion and social isolation were associated with increased PASU during the pandemic. COVID-19 pandemic stressors may increase PASU, and increased PASU may increase the risk of substance use disorders and substance use-related chronic diseases, such as cancer.

Gender-related associations between psychiatric disorders and alcohol use disorder: Findings from the french "Mental health in the general population" survey.

Women with alcohol use disorder (AUD) might be particularly vulnerable to psychiatric comorbidities. However, population surveys have yielded disparate findings. We used data from the French Mental Health in the General Population survey to investigate gender-related risks of psychiatric comorbidities associated with AUD. A cross-sectional survey based on face-to-face interviews, including the Mini International Neuropsychiatric Interview, was conducted among 38,717 subjects. Logistic regression models were used to assess risks of psychiatric comorbidities associated with AUD. After adjustment for socio-demographics and other psychiatric disorders, both women and men with AUD were at higher risk of comorbid depressive disorder (odds ratio [OR] = 2.6, 95% confidence interval [CI]: 2.0-3.4 in women, and OR = 2.0, 95% CI: 1.7-2.4 in men), bipolar I disorder (2.5; 1.4-4.4 in women vs. 2.6; 1.9-3.4 in men), and psychotic disorder (1.6; 1.01-2.5 in women vs. 1.8; 1.4-2.3 in men). Women with AUD exhibited an increased risk of comorbid panic disorder (OR = 1.6, 95% CI: 1.1-2.2) while the increased risk of post-traumatic stress disorder (PTSD) was significant in men only (OR = 2.6, 95% CI: 1.6-4.2). The increased risk of comorbid substance use disorder (SUD) was more elevated in women, compared to men (12.9; 8.1-18.1 vs. 4.8; 4.0-5.8 in men). Most of psychiatric conditions were over-represented in both women and men with AUD, relative to controls. Gender-specific findings were that women with AUD had an increased risk of comorbid SUD or panic disorder, while men had a significantly higher risk of comorbid PTSD.

New Directions in Rehabilitation Counseling for Individuals With Co-Occurring Substance Use Disorders

People with disabilities and people with substance use disorders (SUDs) often experience challenges with psychosocial and vocational adjustment. When someone has both a disability and a co-occurring SUD, existing challenges can be exacerbated and newer, unique challenges may arise. Individuals with disabilities and co-occurring SUDs are often underrepresented in both VR programs and addictions treatment settings. The aims of this article are to first describe the SUD epidemic among those with disabilities and examine specific disability populations that are at an increased risk for SUDs, and second to advocate for an integrated treatment approach and provide specific implications and strategies when serving this population in the VR phases of eligibility determination, job development and placement, and job retention and follow-up.

Substance use behaviors among college students in the food service industry

Objective: Food service employment is associated with substance use, risk of substance use disorders and various negative consequences. Previous research has not examined the substance use patterns of students employed in food service positions. Method: During Fall of 2018, 276 undergraduates completed an anonymous online survey regarding current employment status and substance use. Results: Compared to students employed in other positions, students in food service positions reported higher levels of drinking to cope with negative affect, negative urgency, workplace substance use, marijuana use, marijuana-related problems, and motives. Food service employment was also a significant predictor of marijuana use and related consequences. Conclusions: Students in food service positions, relative to other employment positions, report elevated substance use behavior, risk factors, and negative consequences. Food service employment also contributed variance to models accounting for marijuana use and related consequences. Prevention and intervention strategies should be investigated to mitigate risk for this population.

Associations Between Adverse Childhood Experiences and Tobacco, Alcohol, and Drug Use Among Individuals with Serious Mental Illnesses in Public-Sector Treatment Settings.

Adverse childhood experiences (ACEs) increase risk of substance use disorders (SUDs). Little research has focused on individuals with serious mental illnesses (SMI), despite their high prevalence of both ACEs and SUDs. We combined two datasets from prior studies (n = 299 and n = 240, total n = 539) that measured ACEs and made research diagnoses for SUDs. When controlling for other variables-age, gender, race, diagnostic category (psychotic disorder versus mood disorder), and study site (Washington, DC-area versus southeast Georgia)- in logistic regression models, ACE score was associated with tobacco use, presence of any SUD, alcohol use disorder, cannabis use disorder, and cocaine use disorder. Each one-unit increase in the ACE score increased the odds of SUD-related outcomes by 9-18%. Clinicians, program planners, and researchers should be aware of the powerful and long-lasting impact of ACEs, and the need for thorough screening and assessment of both SUDs and ACEs among patients with SMI.

Substance use disorder and suicide-related behaviour around dates of parental death and its anniversaries: a register-based cohort study

Parental death and its anniversaries, including anticipation of these dates, might cause distress and increase the risk of substance use disorder and suicide-related behaviour in bereaved adolescents and young adults. We examined whether the risk of substance use disorder and suicide-related behaviour increases around the date of parental death and subsequent anniversaries. Using Swedish national registers, we conducted a cohort study of individuals aged 12-24 years. We included individuals aged 12-24 years between Jan 1, 2001, and Dec 31, 2014, whose parents were alive at entry (n=1 858 327) and followed up with them until the end of age 24 years. We excluded individuals with a half-sibling, a history of emigration, a previous record of the outcome events, a parental death before study entry, two parental deaths on the same day during the follow-up, or missing data for relevant variables. Follow-up ended on the day of an outcome event or on Dec 31, 2014; at age 25 years, emigration, or death; or a year before the second parental death. We studied substance use disorder and suicide-related behaviour outcomes separately and included non-fatal and fatal events in both outcomes. We used Cox regression to estimate hazard ratios (HRs), controlling for baseline psychiatric, demographic, and socioeconomic characteristics. Parental death was modelled as a time-varying exposure over 72 monthly periods, starting from 1 year before the parental death to the fifth year and later after the death. Unmeasured confounding was also addressed in within-individual comparisons using a case-crossover design. During follow-up (median 7·5 [IQR 4·3-10·6] years), there were 42 854 substance use disorder events, with a crude rate of 3·1 per 1000 person-years. For suicide-related behaviour, there were 19 827 events, with a crude rate of 1·4 per 1000 person-years. Most of the events studied were non-fatal. In the month of parental death, the HR for substance use disorder risk was 1·89 (95% CI 1·07-3·33) among male participants, and, for suicide-related behaviour, was 3·76 (1·79-7·89) among male participants and 2·90 (1·61-5·24) among female participants. In male participants, there was an increased risk around the first anniversary (substance use disorder: HR 2·64 [95% CI 1·56-4·46] during the anniversary month; 2·21 [1·25-3·89] for the subsequent month; and for suicide-related behaviour: 3·18 [1·32-7·66] for the subsequent month). Among female participants, an increased risk of substance use disorder recurred around every year consistently in the month before the anniversary of the death and there was an increased risk for suicide-related behaviour in the months of the first and second anniversaries. Although effect sizes were large in this cohort study, the number of individuals who had the outcomes was small. Nevertheless, adolescents and young adults, especially women and girls, who had the death of a parent showed increased risk of substance use disorder and suicide-related behaviour around the first few death anniversaries. Adolescents and young adults, especially women and girls, who had the death of a parent could benefit from preventive measures to reduce distress around the first few years of death anniversaries. Swedish Research Council.

Familial associations in adolescent substance use disorder: a population-based cohort study.

Family history of substance use disorder (SUD) affects a child's risk of the disorder through both genetic and shared environmental factors. We aimed to estimate the association between parental or older sibling SUD history with the risk of adolescent SUD diagnosis. We conducted a population-based cohort study using administrative health-care databases in the Province of Manitoba, Canada, which has a universal and publicly funded health-care system. We included all children born from 1984 to 2000 who have linkages to both parents and were followed until age 18 years. We used generalized estimating equation models to produce unadjusted and adjusted relative risk (RR) estimates of adolescent SUD risk. The study cohort included 134 389 children and 31 307 full sibling pairs; 51.3% were male and 35.4% first-born. The exposure was SUD diagnosis in a mother or father in either hospitalization or outpatient physician visit records before the children's age of 13 years. The secondary exposure was an adolescent SUD diagnosis in an older full sibling. The outcome was SUD diagnosis during adolescence (13 and 18 years of age) identified in either hospitalization or physician visit records. Children demographics and characteristics associated with SUD diagnosis were included in the models. Of the 134 389 children, 9.5% had a mother with a history of SUD, 11.3% had a father and 1.3% had an older sibling with a history of SUD diagnosis; 2566 (1.9%) had an adolescent SUD diagnosis. An increased risk of adolescent SUD was observed with SUD history in mothers [adjusted RR (aRR) = 2.50; 95% confidence interval (CI) = 2.26, 2.79], fathers (aRR = 2.15; 95% CI = 1.95, 2.37), both parents (aRR = 3.74; 95% CI = 3.24, 4.31) and older sibling (aRR = 3.85; 95% CI = 2.53, 5.87). A family history of substance use disorder in parents or older siblings appears to be associated with increased SUD risk in adolescents.

Machine Learning Prediction of Comorbid Substance Use Disorders among People with Bipolar Disorder.

Substance use disorder (SUD) is a common comorbidity in individuals with bipolar disorder (BD), and it is associated with a severe course of illness, making early identification of the risk factors for SUD in BD warranted. We aimed to identify, through machine-learning models, the factors associated with different types of SUD in BD. We recruited 508 individuals with BD from a specialized unit. Lifetime SUDs were defined according to the DSM criteria. Random forest (RF) models were trained to identify the presence of (i) any (SUD) in the total sample, (ii) alcohol use disorder (AUD) in the total sample, (iii) AUD co-occurrence with at least another SUD in the total sample (AUD+SUD), and (iv) any other SUD among BD patients with AUD. Relevant variables selected by the RFs were considered as independent variables in multiple logistic regressions to predict SUDs, adjusting for relevant covariates. AUD+SUD could be predicted in BD at an individual level with a sensitivity of 75% and a specificity of 75%. The presence of AUD+SUD was positively associated with having hypomania as the first affective episode (OR = 4.34 95% CI = 1.42–13.31), and the presence of hetero-aggressive behavior (OR = 3.15 95% CI = 1.48–6.74). Machine-learning models might be useful instruments to predict the risk of SUD in BD, but their efficacy is limited when considering socio-demographic or clinical factors alone.