Urgent need for treatment addressing co-use of tobacco and cannabis: An updated review and considerations for future interventions.

BACKGROUND: There are no clinical practice guidelines addressing the treatment of tobacco-cannabis co-use and a dearth of studies to inform treatment for co-use. This narrative review aims to (1) summarize promising intervention components used in published co-use treatment studies, (2) describe key gaps and emerging issues in co-use, and (3) provide recommendations and considerations in the development and evaluation of co-use interventions. METHODS: We conducted a literature search in June 2024 across several databases to update previous reviews on tobacco-cannabis co-use treatment. We found 9 published intervention studies that specifically addressed treatment for both substances. Data from these studies were manually extracted and summarized. RESULTS: Most of the 9 included studies (1) focused on acceptability and/or feasibility, (2) provided both psychosocial/behavioral and pharmacotherapy intervention components, (3) were conducted in adults, and (4) were delivered in-person, with some having digital asynchronous components, for a 5-to-12-week duration. The most common psychosocial/behavioral strategies used were Cognitive Behavioral Therapy, Motivational Interviewing, and Contingency Management; while the most common pharmacotherapy was Nicotine Replacement Therapy. There was no evidence of compensatory use of tobacco or cannabis when providing simultaneous treatment for both substances. CONCLUSIONS: The literature to date provides support for well-integrated multi-component interventions of psychosocial/behavioral and pharmacotherapy strategies for co-use treatment. This review reinforces an urgent need for treatments targeting tobacco and cannabis co-use. Future interventions should address key gaps, including co-use of vaporized products among youth and young adults, tailored interventions for priority populations, and digital applications to increase reach and advance health equity.

Substance use patterns and mental health comorbidities in youth with a history of depression or suicidality: Findings from TX-YDSRN.

BACKGROUND: There is a robust relationship between depression and substance use in youth, with higher levels of substance use associated with greater depressive symptomatology. However, previous research has examined individual substances, without consideration of psychiatric comorbidities. Here, we investigate patterns of substance use among depressed and/or suicidal youth within the context of psychiatric comorbidities. METHODS: 945 youth with depression and/or suicidality from the Texas Youth Depression and Suicide Research Network (TX-YDSRN) were assessed for current use of alcohol, nicotine, cannabis, and other drugs and comorbid psychiatric diagnoses. We used latent class analysis to identify patterns of past-year substance use, then examined if demographics or psychiatric disorders predicted class membership. RESULTS: We identified three patterns of substance use: non-use (63.4 %), moderate likelihood of using alcohol, nicotine and cannabis (23.8 %), and high likelihood of using all substances (12.7 %). Compared to non-users, individuals in the moderate and high likelihood classes were more likely to be older. Individuals in the high likelihood class were more likely to have a substance use disorder, ADHD, and higher suicidality scores. LIMITATIONS: We cannot ascertain the causal or temporal ordering of substance use and psychiatric diagnoses due to the cross-sectional nature of the study. CONCLUSIONS: Using a brief, self-report measure of substance use, we identified three classes of substance users differing in probability of past-year use, which were predicted by older age and some psychiatric comorbidities. While research on universal screening of substance use in youth remains limited, we discuss who may benefit from such screening among depressed youth.

A quantitative LC-MS/MS method for investigation of polysubstance use involving heroin and cocaine.

Concurrent use of heroin and cocaine (known as the "speedball") prevails among substance use disorder populations, especially in opioid-dependent individuals, with severe consequences and a high fatality rate. Little is known about the patterns and correlations of the concurrent use of heroin and cocaine. It is vital to investigate such a polydrug use in both humans and animals to uncover concomitant toxicity and the cause of fatal overdose (death). In this study, we aimed to shed some light on the role of cocaine in the etiology of heroin-related deaths in the context of molecular pharmacokinetics (PK). For the purpose, a high-performance liquid chromatography coupled with tandem mass spectrometry (LC-MS/MS) method for simultaneous determination of heroin, cocaine, and their metabolites in whole blood was developed and fully validated in accordance with the US Food and Drug Administration (FDA) and European Medicines Agency (EMA) guidelines. Then, this method was used to analyze heroin, cocaine, and their metabolites in blood from the rats intraperitoneally administered non-lethal 10 mg/kg heroin or 20 mg/kg cocaine alone, or their combination that is lethal with a proximal mortality of 33 %. The obtained results from the rats that experienced the lethal toxicity revealed that the concurrent use of heroin and cocaine significantly increased the risk of fatality from overdose. Heroin significantly slowed down the elimination of cocaine and its main metabolites in blood, while cocaine significantly enhanced heroin metabolism from 6-monoacetylmorphine (6-MAM) to morphine. Similar elimination half-lives for other heroin metabolites were observed. These findings are reported for the first time in this study, facilitating our understanding of the polysubstance metabolism and severe consequences produced by the polydrug use.

Behavioral and Health Outcome Differences by Heroin or Methamphetamine Preference Among People in Rural US Communities Who Use Both Substances.

Background: The United States' (US) opioid overdose epidemic has evolved into a combined stimulant/opioid epidemic, a pattern driven in part by mitigating opioid overdose risk, variable substance availability, and personal preferences. This study aimed to investigate the association between self-reported substance preference (heroin or methamphetamine) and behavioral/health outcomes among individuals who used both heroin and methamphetamine in the rural US. Methods: The Rural Opioid Initiative is a consortium of 8 research cohorts from 10 states and 65 rural counties that recruited individuals reporting past 30-day injection of any substance or opioid substance use by any route from 1/2018 to 3/2020. Analyses were restricted to participants ⩾18 years, who self-reported either heroin or methamphetamine as their preferred substance and past 30-day use of both heroin and methamphetamine. We examined cross-sectional associations between preferred substance (heroin versus methamphetamine) and behavioral and health outcomes using random effects meta-analysis with adjusted regression models. Results: Among 1239 participants, 61% (n = 752) reported heroin as their preferred substance. Adjusting for age, sex, and race/ethnicity, methamphetamine preference was associated with lower prevalence ratios for current naloxone possession (adjusted prevalence ratio [aPR] = 0.68; 95% Confidence Interval [95% CI] = 0.59-0.78; P-value ⩽ .001), of ever being told they had the hepatitis C virus (HCV; aPR = 0.72; 95% CI: 0.61-0.85; P-value ⩽ .001) and a personal history of overdose (aPR = 0.81; 95% CI = 0.73-0.90; P-value ⩽ .001). Conclusion: In our study analyzing associations between preferred substance and various behavioral and health outcomes amongst people who use both heroin and methamphetamine, a majority of participants preferred heroin. Methamphetamine preference was associated with lower prevalence of naloxone possession, ever being told they had HCV, and prior history of an overdose. This study underscores the need for targeted harm reduction services for people who prefer methamphetamine in rural areas.

Trajectories of polysubstance use: Are past-year internalizing and externalizing problems associated with trajectories of polysubstance use over time?

OBJECTIVE: Polysubstance use among adults has been a public health concern in the U.S. and is associated with adverse consequences. This study aimed to identify the longitudinal trajectory of polysubstance use and test whether internalizing and externalizing problems predict it. METHODS: Data of adults aged 18 and older (N = 15076) were extracted from the Waves 1-5 Population Assessment of Tobacco and Health Study (2013-2019). Group-Based Trajectory Modeling was performed to identify the trajectory of polysubstance use. Examined substances included use of cigarettes, e-cigarettes, excessive alcohol, cannabis, painkillers, and cocaine in past 30 days from all waves. Weighted multinomial logistic regressions were conducted to investigate the associations between internalizing and externalizing problems and the trajectory of polysubstance use, controlling for demographic variables. RESULTS: Five trajectory groups were identified: (1) No to minimal polysubstance use risk (45.6 %); (2) Polysubstance use-low risk (10.7 %); (3) Cigarette-leading polysubstance use-high risk (23.5 %); (4) Cigarette-cannabis co-leading polysubstance use-high risk (12.3 %); and (5) Cannabis-leading polysubstance use-high risk (7.8 %). Compared with Group 1, higher internalizing problems predicted the membership of Group 3 [Relative risk ratio (RRR) range: 1.07-1.17] and Group 4 (RRR range: 1.04-1.21). Compared with Group 1, higher externalizing problems predicted the membership of Group 5 (RRR range: 1.01-1.10). CONCLUSIONS: Prevention efforts should consider internalizing problems and associated trajectories of high-risk polysubstance use (e.g., cigarette-leading and cigarette-cannabis co-leading) as well as externalizing problems and associated trajectories of high-risk polysubstance use (e.g., cannabis-leading), when designing interventions to prevent polysubstance use.

Simultaneous cannabis and psychedelic use among festival and concert attendees in Colorado: characterizing enhancement and adverse reactions using mixed methods.

BACKGROUND: Most studies examining the simultaneous use of cannabis with other drugs have focused on cannabis and alcohol, with fewer studies examining simultaneous use of cannabis with other drugs. The United States is currently experiencing an upward trend in psychedelic use and there is an increasing need to characterize cannabis and psychedelic drug interactions to best inform public health recommendations. MATERIALS AND METHODS: A mixed methods field study design was used to survey participants (N = 128) on their lifetime co-use of cannabis with other drugs. Participants who reported lifetime co-use of cannabis and psychedelics (N = 63) were then asked open-ended questions about their most recent simultaneous co-use experience (i.e., how cannabis enhanced their psychedelic experience and whether they experienced any adverse reactions). We conducted a thematic analysis of responses describing how cannabis enhanced the psychedelic experience (N = 54). However, due to low response rate for participants reporting an adverse reaction (N = 7, 11.1%), responses to this question were not analyzed thematically and are instead presented individually. RESULTS: Themes included tension reduction and balancing of drug effects (N = 27, 50%), enhancement to psychological processes (N = 11, 20.4%), intensified psychedelic drug effects (N = 12, 22.2%), enhanced psychedelic come-down experience (N = 8, 14.8%), and overall ambiguous enhancement (N = 7, 13%). Among participants reporting an adverse reaction, individual responses included increased anxiety and intensity of the experience, decreased sociability, increased negative affect, sleepiness, disassociation, and confusion. CONCLUSION: Additional research is warranted to better characterize cannabis and psychedelic drug interactions to best inform public health recommendations.

The Association of Stigma, School, and Family Factors with Patterns of Substance Use Among LGBTQ Youth.

Polysubstance use is associated with myriad short- and long-term health outcomes. Although prior research has documented differences in polysubstance use between lesbian, gay, bisexual, transgender, queer/questioning, and other sexual and gender minoritized (LGBTQ +) youth and their heterosexual/cisgender counterparts, as well as between subgroups of LGBTQ + youth, it is unknown how personal, family, and school factors are associated with substance use patterns among LGBTQ + youth. Using a large, national sample of 9646 LGBTQ + youth ages 13-17, we used latent class analysis to examine patterns of alcohol, tobacco, and marijuana use and to determine whether personal, family, and school factors predict class membership. We identified five classes of substance use: polysubstance use, polysubstance experimentation, dual alcohol and cannabis, alcohol, and no use. Greater depression and LGBTQ + victimization, and an ability to be oneself at school, were associated with greater odds of membership in the polysubstance use class, while higher levels of family connection and having a Gender Sexuality Alliance (GSA) at school were associated with lower odds of membership in the polysubstance use class. Our analysis also revealed sociodemographic differences in class membership. These findings highlight potential mechanisms for intervention to reduce polysubstance use among LGBTQ + youth.

Lifetime use of multiple substances and youth suicide risk: assessing the role of depressive symptoms using structural equation modeling.

OBJECTIVES: This study assessed the direct and indirect effects (via depressive symptoms) of lifetime use of a broad range of substances on suicide risk among US adolescents. STUDY DESIGN: This was a cross-sectional study. METHODS: Data from the 2021 Youth Risk Behavior Survey were used (N = 12,303, 48.7% female). Associations between five types of substance use (cigarette, e-cigarette, alcohol, marijuana, and prescription pain medicine) and three dimensions of suicide risk (suicidal ideation, suicide plan, and suicide attempt) were measured by multivariate logistic regression models. The role of depressive symptoms was further examined by structural equation modeling. RESULTS: Almost three in five (57.5%) adolescents had used one or more substances in their lifetime (18.1% one type, 12.2% two types, 13.1% three types, 10.2% four types, and 3.8% five types). Adolescents using five substances were up to 16 times more likely to experience suicidal ideation and behaviors. Depressive symptoms significantly linked the pathway from substance use to suicide risk, resulting in much stronger indirect effects than the direct effects. Collectively, the five substance use behaviors and depressive symptoms explained about 60.4% of variance in suicidal ideation, 53.6% of variance in suicide plan, and 55.0% of variance in suicide attempt. CONCLUSIONS: Lifetime use of multiple substances is significantly correlated with suicidal ideation and behaviors among adolescents via the pathway of depressive symptoms. Routine screening for a broad range of substance use behaviors is needed to identify adolescents at risk for suicide and accessible mental health services could potentially attenuate the linkage between substance use and suicide risk.

Trends in marijuana and heavy alcohol use by cigarette smoking status among US adults: An analysis of the 2002-2019 NSDUH.

BACKGROUND: Polysubstance use is associated with adverse health outcomes, yet little research has measured changes in polysubstance use. We aimed to 1) estimate trends in marijuana and heavy alcohol use by cigarette smoking and demographic subgroups, and 2) examine patient factors associated with concurrent use among adults who were smoking. METHODS: We conducted a repeated cross-sectional analysis of 687,225 non-institutionalized US adults ≥18 years from the 2002-2019 National Survey on Drug Use and Health. Participants were stratified into current, former, and never smoking groups. Main outcomes were prevalence of heavy alcohol use, marijuana use, and concurrent use of both substances. RESULTS: From 2002-2019, heavy alcohol use declined from 7.8 % to 6.4 %, marijuana use rose from 6.0 % to 11.8 %, and concurrent use of alcohol and marijuana remained stable. Among adults who were smoking from 2005 to 2019, higher education was associated with higher odds of heavy alcohol use, while older ages, female gender, non-White race/ethnicity, and government-provided health insurance were associated with lower odds. The odds of marijuana use decreased in females, older ages, and higher incomes while increasing in people with poorer health status, higher education, government-provided or no health insurance, and serious mental illness. Compared to White adults who were smoking, Black counterparts had higher odds of marijuana use (OR=1.23; 95 %CI: 1.15-1.29), while Hispanic (OR=0.68; 95 %CI: 0.63-0.72) and other racial/ethnic identities (OR=0.83; 95 %CI: 0.77-0.90) had lower odds. CONCLUSIONS: Our study suggests marijuana use might not be sensitive to changes in the use of tobacco and alcohol.

Outcomes of Combined Opioids and Benzodiazepines Consumption in Elderly Trauma: A Retrospective Cohort Study.

BACKGROUND: Acute substance intoxication is associated with traumatic injury and worse hospital outcomes. The objective of this study was to evaluate the association between simultaneous opioids and benzodiazepines (OB) use and hospital outcomes in elderly trauma patients. METHODS: We performed a retrospective analysis using the American College of Surgeons Trauma Quality Improvement Program (ACS-TQIP) 2017 database. We included trauma patients (age ≥ 65 years) examined by urine toxicology within 24 hours of presentation. The primary outcome was in-hospital mortality. Secondary outcomes included hospital and ICU lengths of stay (HLOS AND ICULOS), in-hospital complications (eg, ventilator-associated pneumonia), unplanned intubation, and duration of mechanical ventilation. Patients were stratified being both positive for opioids and benzodiazepines (OB+) or not (OB-) based on having positive or negative drug screen for both drugs, respectively. A 1:1 propensity score matching was performed controlling for demographics (eg, age and sex), comorbidities (eg, alcoholism), and injury characteristics. RESULTS: Of 77,311 tested patients, 849 OB+ were matched to OB- patients. Compared to OB- group, OB+ patients were more likely to have unplanned intubation (26 [3.1%] vs 8 [0.9%], P = 0.002) and had prolonged HLOS (≥2 days: 683 [84.0%] vs 625 [77.8%], P = 0.002). There were no differences in all other outcomes (P > 0.05). CONCLUSIONS: The OB intake is associated with higher incidence of unplanned intubation and longer HLOS in elderly trauma patients. Early identification of elderly trauma patient with OB+ can help provide necessary pharmacologic and behavioral interventions to treat their substance use and potentially improve outcomes.

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.

Polysubstance-Induced Hepatotoxicity and the Role of Supportive Management.

With the continued rise of polysubstance use throughout the country, it has been shown to affect a multitude of organ systems. Drug-induced liver injury (DILI) has been widely documented in its association with salicylates or acetaminophen and the utility of using N-acetylcysteine (NAC) for its hepatoprotective effects. However, DILI caused by illicit drug use and guideline-directed management has had little research. We present the case of a 29-year-old female who presented with altered mental status. She was found to have a concomitant liver injury and was treated supportively without the use of NAC, with gradual improvement.

Patients presenting to the ED with nonfatal drug overdose: Self-reported history of overdose and naloxone use.

BACKGROUND: In the context of polysubstance use and fentanyl detection in non-opioid drugs supplies (e.g., cocaine, methamphetamine), it is important to re-evaluate and expand our understanding of which populations are at high risk for fatal drug overdoses. The primary objective of this pilot study was to gather data from the ED to characterize the population presenting with drug overdose, including demographics, drug use patterns and comorbidities, to inform upstream overdose prevention efforts. METHODS: A consecutive sample of ED patients undergoing treatment for non-fatal overdose were prospectively recruited for study participation at the time of ED visit. Participants reported history of substance use over the past six months, recent and lifetime overdose, and naloxone receipt and administration history. RESULTS: A total of 76 eligible participants were enrolled over the course of seven months. Participants reported high rates of opioid (56%), stimulant (56%), and cannabis use (59%). Self-reported polysubstance use, defined as self-reported use of more than one substance, was 83%. Of enrolled participants, 64% reported at least one overdose and 39% reported three or more lifetime overdoses prior to their index overdose ED visit. Participants with no self-reported intentional opioid use (n = 32) in the past six months had fentanyl positive urine drug screen 84% of the time versus 89% in the overall study population (n = 74). Participants who did not report opioid use in the past six months were less likely to possess (34% vs. 55%) or to know how to acquire (50% vs. 74%) naloxone compared to participants with self-reported history of opioid use. CONCLUSION: This study demonstrated high rates of fentanyl exposure on toxicology testing at time of overdose across all participants including study participants without self-reported intentional opioid use. Data gathered in the ED at time of overdose can be used to inform upstream naloxone distribution and public health initiatives.

Racial/ethnic trends in opioid and polysubstance opioid overdose mortality in adolescents and young adults, 1999-2020.

OBJECTIVES: Previous reports have described variations in opioid overdose mortalities among different race/ethnicity groups. We have analyzed racial/ethnicity trends in opioid and polysubstance opioid overdose mortalities in adolescents and young adults to further characterize differences and potential sub-epidemics within this specific population. METHODS: We used mortality data from the U.S. Centers for Disease Control and Prevention Wide-Ranging Online Data for Epidemiologic Research (WONDER) Multiple Cause of Death file from 1999 to 2020. Drug overdose mortalities were identified using International Classification of Diseases, Tenth Revision (ICD-10) codes. Joinpoint regression was used to examine mortality rates for all opioids, opioids with a stimulant, opioids with benzodiazepines, and opioids with alcohol among racial/ethnic groups (non-Hispanic white, non-Hispanic Black, Hispanic, non-Hispanic other) in adolescents and young adults. RESULTS: The Average Annual Percent Change (AAPC) for mortality due to opioid and polysubstance opioid overdose increased for all racial/ethnic groups where data was available for analysis from 1999 to 2020. For mortality due to any opioid and any opioid with a stimulant, the greatest AAPC was seen among non-Hispanic Blacks. CONCLUSIONS: Unprecedented increases in mortality due to opioid overdose occurred in the last two decades among adolescents and young adults. Heterogenous trends support the notion that the previously defined opioid overdose epidemic "waves" may not accurately depict the effects of the crisis in all race/ethnicity groups. Additionally, alarming increases in opioid-stimulant overdose mortality starting in 2012 further characterize the interrelated effects of the third and fourth waves.

Bracketing Estimation of Intentional Polysubstance Use in the United States.

Evidence from diverse sources suggests that persons who have a substance use disorder (SUD) often have problems with one or more additional substances, a situation broadly, if imprecisely, termed polysubstance use or more preferably multiple substance use disorder (mSUD). Because of the heavy toll of maladaptive neuronal dysregulation, morbidity, and mortality of SUDs, and increasingly of mSUD, on the individual, their families, the healthcare system, insurers, regulators, and society at large, it seems of value to have an estimate of the prevalence of mSUD. This turns out to be surprisingly difficult, due to nebulous or disparate definitions and to weaknesses in data acquisition methodology. We here attempt a pragmatic way of bracketing an estimate of mSUD prevalence in the US. We conclude that a reasonable estimated range of mSUD in the US is about 8 to 14 million persons. This approach provides a quick estimate for stakeholders involved in efforts to understand or deal with the immediate crisis of mSUD, as more refined estimations are pursued.

Factors associated with suicidal ideation among people with HIV engaged in care.

BACKGROUND: People with HIV (PWH) are at elevated risk for suicidal ideation (SI), yet few studies have examined how substance use, clinical and sociodemographic factors are associated with SI among PWH. METHOD: We used substance use (Tobacco, Alcohol, Prescription Medication, and Other Substance Use [TAPS]) and depression (PHQ-9) data from computerized screening of adult PWH in primary care clinics in Northern California, combined with health record data on psychiatric diagnoses, HIV diagnosis, treatment, and control (HIV RNA, CD4), insurance, and neighborhood deprivation index (NDI) to examine factors associated with SI (PHQ-9 item 9 score > 0). Adjusted odds ratios (aOR) for SI were obtained from logistic regression models. RESULTS: Among 2829 PWH screened (92 % male; 56 % white; mean (SD) age of 54 (13) years; 220 (8 %) reported SI. Compared with no problematic use, SI was higher among those reporting one (aOR = 1.65, 95 % CI = 1.17, 2.33), two (aOR = 2.23, 95 % CI = 1.42, 3.49), or ≥ 3 substances (aOR = 4.49, 95 % CI = 2.41, 8.39). SI risk was higher for those with stimulant use (aOR = 3.55, 95 % CI = 2.25, 5.59), depression (aOR = 4.18, 95 % CI = 3.04, 5.74), and anxiety diagnoses (aOR = 1.67, 95 % CI = 1.19, 2.34), or Medicaid (aOR = 2.11, 95%CI = 1.24, 3.60) compared with commercial/other insurance. SI was not associated with HIV-related measures or NDI. LIMITATIONS: SI was assessed with a single PHQ-9 item. Simultaneous SI and exposure data collection restricts the ability to establish substance use as a risk factor. CONCLUSIONS: HIV care providers should consider multiple substance use, stimulant use, depression or anxiety, and public insurance as risk factors for SI and provide interventions when needed.

Polysubstance Use among Maryland High School Students: Variations across County-Level School Districts.

BACKGROUND: Polysubstance use is a highly prevalent public health issue, particularly among adolescents, and decisions on prevention programming and policies are often made at the local level. While there is a growing literature examining patterns of polysubstance use among adolescents, little is known about differences in those patterns across geographic regions. METHODS: Using a large, representative sample of high school students from the state of Maryland (n = 41,091) from the 2018 Maryland Youth Risk Behavior Survey, we conducted a latent class analysis (LCA) of adolescent substance use along nine binary indicators, including past 30-day combustible tobacco, e-cigarette, alcohol, and cannabis use, as well as lifetime use of prescription opioids, cocaine, heroin, methamphetamine, and injection drug use. Measurement invariance across counties was examined using the Multiple Indicators and Multiple Causes (MIMIC) procedure. RESULTS: The results of the LCA show three classes of adolescent substance use for the total sample: (1) low substance use, (2) commonly used substances (i.e., e-cigarette, alcohol, and cannabis use), and (3) polysubstance use. The results from the MIMIC procedure demonstrated geographic differences in students' endorsement of specific indicators and their class membership. CONCLUSIONS: These differences demonstrate the need for an examination of local trends in adolescent polysubstance use to inform multi-tiered prevention programming and policy.

Substance use patterns, quantities, and associated risk factors in women with polysubstance misuse.

Polysubstance use (PSU), the use of two or more substances proximally, is highly prevalent and has amplified the risk for morbidity and mortality. However, PSU patterns and associated risk factors are not well characterized. This may be especially relevant to women who are known to be vulnerable to stress/trauma, craving, pain, and anxious and depressive symptoms as associated risk factors for PSU. A cross-sectional observational study was conducted to characterize substance use patterns in women who regularly used cocaine, opioids, marijuana, alcohol, benzodiazepines and/or nicotine and were being assessed for a placebo-controlled study of guanfacine treatment (n = 94; ages 19-65). Data on stress/traumatic life events, drug cravings for each substance, pain ratings, and anxiety and depressive symptoms were also obtained using standardized well-validated surveys. High use per day of two or more drugs was observed (72.7% ± 33.3%) and opioid amounts were high relative to other drug amounts (p's < 0.001). Notably, higher stress/trauma events and higher cravings are each associated with cumulative PSU days, amounts and probability of an individual PSU day (p's < 0.02). This remained when PSU versus single substance use was compared. Pain, anxiety and depressive symptoms were not associated with PSU metrics. These findings characterize specific patterns of PSU in women and show that average drug craving and stress/trauma events are associated with PSU. Interventions that focus on stress/trauma and craving management could be of benefit in reducing PSU risk in women.

Prevalence of comorbid substance use disorders among people with opioid use disorder: A systematic review & meta-analysis.

BACKGROUND: Comorbid substance use disorders (SUDs) among people with opioid use disorder (OUD) contribute to poor clinical outcomes, including overdose and mortality. We present the first systematic review and meta-analysis to estimate the prevalence of specific non-opioid SUDs among people with OUD. METHODS: We searched Embase, PsycINFO, and MEDLINE from 1990 to 2022 for studies that used Diagnostic and Statistical Manual of Mental Disorders (DSM) or International Classification of Diseases (ICD) criteria to assess the prevalence of non-opioid SUDs among individuals with OUD. We used random-effects meta-analyses with 95% Confidence Intervals (CIs) to pool current and lifetime prevalence estimates separately. Meta-regressions and stratified meta-analyses were used to examine differences in prevalence estimates by sample characteristics and methodological factors. RESULTS: Of the 36,971 publications identified, we included data from 194 studies and 77,212 participants with OUD. The prevalence of any comorbid SUD among people with OUD was 59.5% (95%CI 49.1-69.5%) for current non-opioid SUDs, with 72.0% (95%CI 52.5-87.9%) experiencing a comorbid SUD in their lifetime. Of the studies that examined current comorbid SUDs, cocaine use disorder (30.5%, 95%CI 23.0-38.7%) was most common, followed by alcohol (27.1%, 95%CI 24.4- 30.0%), cannabis (22.7%, 95%CI 19.0-26.6%), sedative (16.1%, 95%CI 13.1-19.3%), and methamphetamine (11.4%, 95%CI 6.8-17.1%) use disorders. Substantial heterogeneity (I2>90%) across estimates was observed. Substantial heterogeneity (I2>90%) was observed across estimates, with significant variations in prevalence identified across geographic locations, recruitment settings, and other study-level factors. CONCLUSION: Findings from this study emphasize the importance of comorbid SUD treatment access for people with OUD. Our estimates can inform the provision of treatment and harm reduction strategies for people with OUD and specific subpopulations.

Examining within-person associations between alcohol and cannabis use and hooking up among adolescents and young adults in the United States.

OBJECTIVE: This study examined daily associations between alcohol use, cannabis use, and simultaneous alcohol and cannabis/marijuana (SAM) use with the likelihood of hooking up (uncommitted sexual encounter that may or may not include intercourse). METHOD: We used a longitudinal measurement burst ecological momentary assessment (EMA) design with 3-week EMA bursts with daily measurements repeated quarterly across 12 months. 1,009 (57 % female, Mean age = 20.00 [SD = 3.21]) Texan adolescents and young adults ages 15-25 participated in the study. Mixed effects logistic regression models were estimated using maximum likelihood estimation to evaluate the associations between substance use and hooking up. RESULTS: Within-person results indicated that participants were more likely to hook up on days with alcohol use and on days with cannabis use, but not on days with SAM use. Participants were also more likely to hook up on drinking days with higher-than-usual alcohol use. Between-person results indicated that participants who used alcohol more often or cannabis more often on average were more likely to hook up, and participants who tended to drink more on drinking days were more likely to hook up. CONCLUSIONS: Given the significant daily-level associations between alcohol and cannabis use and hooking up behavior, public health initiatives should focus on developing interventions to reduce alcohol and cannabis use and promote safer hooking up behavior among adolescents and young adults.