Drug and alcohol dependence reports最新文献

Background

Factors that predict attempts to discontinue drug use are clinically relevant and may inform treatment. This study investigated drug use-related consequences as a predictor of drug quit attempts and treatment seeking among two cohorts of persons who use drugs.

Methods

Drug use and clinical characteristics were assessed among persons who use cocaine (N=176; urine-verified; ‘Cocaine Cohort’) and among those who use heroin (N=166; urine-verified; ‘Heroin Cohort’). Mediation analyses assessed relationships among age at initial drug use, adverse drug-specific use-related consequences, and drug-specific quit attempts, separately for each cohort. Forward conditional logistic regression models evaluated drug use and clinical symptom scores as predictors of drug-specific treatment seeking.

Results

Controlling for age, mediation models showed that drug use consequences fully mediated the relationship between age at initial drug use and number of drug-specific quit attempts for the ‘Cocaine Cohort’ and ‘Heroin Cohort’ (R²=0.30, p<.001; R²=0.17, p<.001; respectively). Reporting more consequences predicted more quit attempts in each cohort, accounting for duration of use (ps<.001). Reporting more consequences also predicted greater likelihood of seeking drug use treatment (ps<.001) and was associated with more severe clinical symptoms in each cohort (ps<.05).

Conclusions

Using a parallel analysis design, we showed that reporting more drug-specific use-related consequences predicted more drug-specific quit attempts and greater likelihood to seek treatment in two cohorts: persons who use cocaine and those who use heroin. Our findings suggest that experiencing more drug use consequences predicts more attempts to seek drug abstinence and that assessment of consequences may be informative for treatment.

Background

Tobacco use leads to multiple illnesses. Yet, the effects of different categories of tobacco use on multimorbidity remain understudied. We investigated the associations between tobacco use categories and multimorbidity and the potential moderating effects of age, sex, or race/ethnicity among adults in the United States.

Methods

We conducted a cross-sectional analysis using pooled data from the Behavioral Risk Factor Surveillance System for the years 2020–2022. Multimorbidity was ascertained through self-reported ≥2 chronic health conditions. We categorized tobacco use into nine derived from nonuse (did not use e-cigarettes or cigarettes), former cigarette or e-cigarette use, current (used on some days/everyday) cigarette use or e-cigarette use, or both (dual use). We used multinomial logistic regression to investigate the associations while accounting for potential confounding factors.

Results

Within the sample (N=1,080,257), 28.2% reported multimorbidity. For the categories examined (former exclusive e-cigarette, exclusive e-cigarette, former exclusive cigarette, former dual, former cigarette/current e-cigarette, exclusive cigarette, current cigarette/former e-cigarette and dual use), all reported higher odds of having multimorbidity compared to those who reported nonuse of both e-cigarettes and cigarettes. We found significant interactions for age, sex and race/ethnicity with the tobacco use categories for multimorbidity (p<0.01), where stronger associations were observed among younger adults, females and non-Hispanic Multiracial for current dual use (p<0.05).

Conclusions

The use of cigarettes, e-cigarettes, or both was associated with multimorbidity among adults, which was more pronounced among younger adults, females and non-Hispanic Multiracial. These findings underscore the importance of implementing targeted public health interventions to mitigate the health risks associated with using both products, particularly among specific demographics, to reduce the prevalence of multimorbidity.

Objective

Cannabis use is increasingly pervasive throughout the U.S. People in treatment for substance use disorders (SUD) may be especially at-risk of harm due to this changing context of cannabis in the U.S. This study’s objective was to qualitatively describe experiences and beliefs around cannabis among people who had entered treatment for any SUD in the past 12-months.

Methods

From May to November of 2022, we conducted 27 semi-structured interviews (n=16 in Georgia, n=11 in Connecticut) with individuals in treatment for SUD in Georgia and Connecticut. Interviews were recorded, transcribed, and thematically analyzed using an emergent approach.

Results

All participants had used cannabis in the past. Four themes emerged from the interviews. Participants: (1) perceived cannabis as an important contributor to non-cannabis substance use initiation in adolescence; (2) viewed cannabis as a substance with the potential to improve health with fewer side effects than prescription medications; (3) expressed conflicting opinions regarding cannabis as a trigger or tool to manage cravings for other non-cannabis substances currently; and 4) described concerns related to negative legal, social service, and treatment-related consequences as well as negative peer perception relating to the use of cannabis.

Conclusion

Although participants described cannabis’s important role as an initiatory drug in adolescence and young adulthood, many felt that cannabis was a medicinal substance for a range of health challenges. These findings suggest SUD treatment clinicians should address medicinal beliefs related to cannabis among their clients and emphasizes the need for research on cannabis use and SUD treatment outcomes.

Background

Although buprenorphine is an effective treatment for opioid use disorder (OUD), much remains to be understood about treatment non-response and methods for improving treatment retention. The addition of behavioral therapies to buprenorphine has not yielded consistent benefits for opioid outcomes, on average. However, several studies suggest that certain subgroups may benefit from the combination of buprenorphine and behavioral therapy, highlighting the potential for personalized approaches to treatment. Furthermore, little is known about whether behavioral therapies improve buprenorphine retention or non-opioid (e.g., functional) outcomes.

Methods

The objective of this project is to harmonize four previously conducted clinical trials testing the addition of behavioral therapy to buprenorphine maintenance for OUD and to use this larger dataset to answer critical clinical questions about the role of behavioral therapy in this population. Study aims include identifying potential moderators of the effect of the addition of behavioral therapy and quantifying the effect of behavioral therapy on buprenorphine retention and functional outcomes.

Results

Analyses will consider outcomes of weeks of opioid use, weeks of retention in buprenorphine treatment, and functional outcomes as measured by the Addiction Severity Index. Analyses will include an indicator for each study to account for heterogeneity of samples and design.

Conclusion

Results will help to inform clinical and research efforts to optimize the use of behavioral therapies in the treatment of OUD.

Background

At-risk alcohol use is associated with increased adverse health consequences, yet is undertreated in healthcare settings. People residing in rural areas need improved access to services; however, few interventions are designed to meet the needs of rural populations. Mobile interventions can provide feasible, low-cost, and scalable means for reaching this population and improving health, and behavioral economic approaches are promising.

Methods

We conducted a pilot randomized controlled trial focused on acceptability and feasibility of a mobile behavioral economic intervention for 75 rural-residing adults with at-risk alcohol use. We recruited participants from a large healthcare system and randomized them to one of four virtually-delivered conditions reflecting behavioral economic approaches: episodic future thinking (EFT), volitional choice (VC), both EFT and VC, or enhanced usual care control (EUC). The intervention included a telephone-delivered induction session followed by two weeks of condition-consistent ecological momentary interventions (EMIs; 2x/day) and ecological momentary assessments (EMAs; 1x/day). Participants completed assessments at baseline, post-intervention, and two-month follow-up, and provided intervention feedback.

Results

All participants completed the telephone-delivered session and elected to receive EMI messages. Average completion rate of EMAs across conditions was 92.9%. Among participants in active intervention conditions, 89.3% reported the induction session was helpful and 80.0% reported it influenced their future drinking. We also report initial alcohol use outcomes.

Discussion

The behavioral economic intervention components and trial procedures evaluated here appear to be feasible and acceptable. Next steps include determination of their efficacy to reduce alcohol use and public health harms.

Objective

We evaluated the impact of a telemedicine bridge clinic on treatment outcomes and cost for patients with opioid use disorder. Telemedicine bridge clinics deliver low-barrier rapid assessment of patients with opioid use disorder via audio-only and audiovisual telemedicine to facilitate induction on medication therapy and connection to ongoing care.

Methods

A pre-post analysis of UPMC Health Plan member claims was performed to evaluate the impact of this intervention on the trajectory of care for patients with continuous coverage before and after bridge clinic visit(s).

Results

Analysis included 150 UPMC Health Plan members evaluated at the bridge clinic between April 2020 and October 2021. At least one buprenorphine prescription was filled within 30 days by 91% of patients; median proportion of days covered by buprenorphine was 73.3%, 54.4%, and 50.6% at 30, 90, and 180 days after an initial visit compared to median of no buprenorphine claims 30 days prior among the same patients. Patients had an 18% decline in unplanned care utilization 30 days after initial Bridge Clinic visit, with a 62% reduction in unplanned care cost per member per month (PMPM), 38% reduction in medical cost PMPM, and 10% reduction in total PMPM (medical + pharmacy cost) at 180 days. Primary care, outpatient behavioral health, and laboratory costs increased while emergency department, urgent care, and inpatient costs declined.

Conclusion

Utilization of a telemedicine bridge clinic was associated with buprenorphine initiation, linkage to ongoing care with retention including medication treatment, reduced unplanned care cost, and overall savings.

Substance use disorder (SUD) remains one of the most persistent public health challenges across the nation and in Minnesota. One intervention to help people with SUD is peer recovery services (PRS). PRS is a form on non-clinical support where trained individuals who are more established in recovery come alongside people currently in the recovery journey and provide guidance in the treatment process, help in accessing resources, and offer an empathetic ear. In combination with other services in the continuum of care, PRS seeks to reduce harm from disordered use. In 2018, Minnesota made PRS for SUD a Medicaid reimbursable service. While prior literature demonstrates promising effects of PRS for SUD, especially in treatment retention and participant experience, most studies evaluated PRS in limited settings, rather than in a large-scale implementation. Our retrospective, matched-cohort study used administrative data to estimate the impact of initiating Medicaid-reimbursable PRS for SUD on treatment, overdose, and mortality. Our results align, in some dimensions, with prior literature evaluating smaller-scale programs with positive impacts on treatment completion. We also find, however, that PRS at scale did not produce other positive outcomes that past studies have documented, particularly around overdose and inpatient treatment. This suggests that PRS follows a common challenge of implementing promising ideas at scale.

Background

In March 2020, policy changes by the Substance Abuse and Mental Health Services Administration and the Drug Enforcement Administration aimed to maintain access to office-based opioid treatment services by easing telehealth buprenorphine prescribing restrictions. However, the effectiveness of these changes remains largely unmeasured. The objective of this study was to measure the effectiveness of COVID-19-related telehealth flexibilities in an all-payer cohort from the Texas Prescription Monitoring Program.

Methods

Using Texas Prescription Monitoring Program data, we identified oral buprenorphine and buprenorphine/naloxone prescriptions dispensed in Texas between September 1, 2019, and September 26, 2020. Weekly counts of prescriptions, prescribing physicians, and dispensing pharmacies were analyzed. An autoregressive integrated moving average (ARIMA) model estimated changes in prescription volume between pre-implementation (September 1, 2019 - February 15, 2020) and post-implementation (April 12, 2020 - September 26, 2020) periods.

Results

Pre-flexibility, an average of 8898 (SD: 342) buprenorphine prescriptions were dispensed to 7829 (SD: 326) patients weekly. This declined to 8360 (SD: 247) prescriptions and 7661 (SD: 229) patients post-flexibility. Adjusted for seasonality, this represented a statistically significant average decline of −257.27 (95% CI: −426.06, −88.49) patients and −647.01 (95% CI: −856.67, −437.36) prescriptions per week.

Discussion

Our results suggest a modest decline in buprenorphine dispensing volume early in the COVID-19 pandemic. While difficult to assess its significance, it can be assumed that telehealth flexibilities mitigated a potentially larger decline. Future research should explore system and individual-level barriers to telehealth utilization.

Introduction

In 2019, there were over 16,000 deaths from psychostimulant overdose with 53.5% also involving an opioid. Given the substantial mortality stemming from opioid and psychostimulant co-exposure, evaluation of clinical management in this population is critical but remains understudied. This study aims to characterize and compare clinical management and outcomes in emergency department (ED) overdose patients with analytically confirmed exposure to both opioids and psychostimulants with those exposed to opioids alone.

Methods

This was a secondary analysis of a prospective consecutive cohort of ED patients age 18+ with opioid overdose at 9 hospital sites from September 21, 2020 to August 17, 2021. Toxicologic analysis was performed using liquid chromatography quadrupole time-of-flight mass spectrometry. Patients were divided into opioid-only (OO) and opioid plus psychostimulants (OS) groups. The primary outcome was total naloxone bolus dose administered. Secondary outcomes included endotracheal intubation, cardiac arrest, troponin elevation, and abnormal presenting vital signs. We employed t-tests, chi-squared analyses and multivariable regression models to compare outcomes between OO and OS groups.

Results

Of 378 enrollees with confirmed opioid overdose, 207 (54.8%) had psychostimulants present. OO patients were significantly older (mean 45.2 versus 40.6 years, p < 0.01). OS patients had significantly higher total naloxone requirements (mean total dose 2.79 mg versus 2.12 mg, p = 0.009). There were no significant differences in secondary outcomes.

Conclusion

Approximately half of ED patients with confirmed opioid exposures were also positive for psychostimulants. Patients in the OS group required significantly higher naloxone doses, suggesting potential greater overdose severity.

Introduction

For adults involved with the criminal justice system who are reentering their communities post-incarceration, there is a large need for community-based substance use treatment. Little is known, however, about the types, availability, and benefits of programs targeting the reentry population in community settings that operate independently from the criminal justice system.

Methods

We conducted a scoping review of community-based treatment programs for substance use among reentering justice-involved adults to examine the contemporary state of literature and identify research gaps. We searched four databases for peer-reviewed articles conducted in the United States and published between 2017 and 2021.

Results

The final sample included 58 articles. Interventions varied, but the two most prominent were medications for opioid use disorder (35%) and peer support or social support interventions (22.4%). Studies were more likely to show positive impact on substance use outcomes than criminal justice outcomes. Themes were identified around participant characteristics, treatment delivery, and treatment benefits.

Conclusions

Findings from this scoping review suggest that the range of evidence-based strategies for substance use treatment targeting the reentry population is growing, but there is a need for additional research that examines implementation, cost effectiveness, and racial/ethnic disparities.