UNASSIGNED: 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.
UNASSIGNED: 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.
UNASSIGNED: 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).
UNASSIGNED: 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.

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.

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.
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.
CONCLUSIONS: Additional research is warranted to better characterize cannabis and psychedelic drug interactions to best inform public health recommendations.

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.

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.

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.

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.
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.
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.
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.

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.

Background: Co-use of alcohol and other drugs within a certain time frame (i.e., polysubstance use) has become increasingly prevalent, particularly among college-aged individuals, but understanding motives for co-use remains limited. Polysubstance use has been associated with a higher likelihood of negative health consequences as compared to single substance use. Objectives: The current study examined associations between motivations for using alcohol, tobacco, and cannabis among college students who use multiple substances versus students using only one substance or no substances. Additionally, we examined the effect of trauma and daily stress on polysubstance use in self-report data from individuals (N=134) participating in the MAPme Study. Results: First, the observed prevalence of polysubstance use was greater than expected by chance, with most individuals co-using alcohol and cannabis. \"Alcohol and Other Drug Users\" were more frequently motivated to drink for social (β=0.27, CI=[0.07, 0.44]), enhancement (β=0.26, CI=[0.01, 0.42]) and coping (β=0.21, CI=[0.06, 0.47]) reasons compared to individuals who consumed alcohol alone. Conclusions: Individual differences in motivations for use were partly explained by frequency of alcohol use and alcohol problem severity, but not by history of trauma or stress. Finally, while patterns of correlations among motivations for use across substances suggested a general tendency to be motivated to use substances for similar reasons, this was not supported by confirmatory factor models. Overall, shared motives may inform potential behavioral patterns for co-use of substances during college and might advise future treatment efforts.
Emerging adults tend to use multiple substances, particularly alcohol and cannabisCorrelation patterns suggest shared motives within rather than across substancesAlcohol problem severity and alcohol frequency predict motives for use.

UNASSIGNED: Patients with substance use disorders (SUDs) exhibit low healthcare utilization despite high medical need. Telehealth could boost utilization, but variation in uptake across SUDs is unknown.
UNASSIGNED: Using Wisconsin Medicaid enrollment and claims data from December 1, 2018, to December 31, 2020, we conducted a cohort study of telemedicine uptake in the all-ambulatory and the primary care setting during telehealth expansion following the COVID-19 public health emergency (PHE) onset (March 14, 2020). The sample included continuously enrolled (19 months), nonpregnant, nondisabled adults aged 19 to 64 years with opioid (OUD), alcohol (AUD), stimulant (StimUD), or cannabis (CannUD) use disorder or polysubstance use (PSU). Outcomes: total and telehealth visits in the week, and fraction of visits in the week completed by telehealth. Linear and fractional regression estimated changes in in-person and telemedicine utilization. We used regression coefficients to calculate the change in telemedicine utilization, the proportion of in-person decline offset by telemedicine uptake (\"offset\"), and the share of visits completed by telemedicine (\"share\").
UNASSIGNED: The cohort (n = 16 756) included individuals with OUD (34.8%), AUD (30.1%), StimUD (9.5%), CannUD (9.5%), and PSU (19.7%). Total and telemedicine utilization varied by group post-PHE. All-ambulatory: total visits dropped for all, then rose above baseline for OUD, PSU, and AUD. Telehealth expansion was associated with visit increases: OUD: 0.489, P < .001; PSU: 0.341, P < .001; StimUD: 0.160, P < .001; AUD: 0.132, P < .001; CannUD: 0.115, P < .001. StimUD exhibited the greatest telemedicine share. Primary care: total visits dropped for all, then recovered for OUD and CannUD. Telemedicine visits rose most for PSU: 0.021, P < .001; OUD: 0.019, P < .001; CannUD: 0.011, P < .001; AUD: 0.010, P < .001; StimUD: 0.009, P < .001. PSU and OUD exhibited the greatest telemedicine share, while StimUD exhibited the lowest. Telemedicine fully offset declines for OUD only.
UNASSIGNED: Telehealth expansion helped maintain utilization for OUD and PSU; StimUD and CannUD showed less responsiveness. Telehealth expansion could widen gaps in utilization by SUD type.