Characteristics and health care events of patients admitted to treatment for both heroin and methamphetamine compared to patients admitted for heroin only

National trends in co-use of opioids and methamphetamine among people who inject drugs, 2012-2018

Reports from substance use disorder treatment admissions have described a trend of rapidly increasing overlapping methamphetamine and opioid use throughout the United States in the past twenty years. We used data from the 2012, 2015, and 2018 cycles of the National HIV Behavioral Surveillance (NHBS) project among people who inject drugs (PWID) to describe trends in methamphetamine-opioid co-use over time and in different US Census regions. We compared the demographic, socio-economic, sexual health, and drug use behavioral characteristics of people who co-used compared to people who primarily used one of these drugs. Methamphetamine-opioid co-use increased from 4.3 % in 2012 to 14.3 % in 2018 in the national NHBS-PWID sample. Co-use was most prevalent in the West and increased the most in the Northeast. Younger age, frequent drug injection, opioid overdose in the past year, and sharing syringes and other injection equipment were significantly associated with methamphetamine-opioid co-use compared to all other drug use patterns. The widespread change in drug use patterns and the higher-risk behavior associated with co-use signal the need for swift and coordinated public health action to expand harm reduction and treatment services and to develop data-informed clinical guidelines to serve this growing population.

Levels of engagement among office-based opioid treatment (OBOT) patients with concurrent methamphetamine use

BACKGROUND AND OBJECTIVES

Recent increases in methamphetamine use among people seeking treatment for opioid use disorder (OUD) has created significant demand for effective approaches to support this clinical population. This study assessed the extent to which office-based opioid treatment (OBOT) patients, who were diagnosed with methamphetamine use disorder (MUD), engaged with providers.

METHODS

A retrospective analysis was conducted of adult patients (n = 470) seeking treatment for OUD who attended at least one visit between March 2020 and March 2023 at a rural regional OBOT provider. Approximately one quarter (28.7%) of patients were diagnosed with MUD in addition to receiving an OUD diagnosis. Bivariate methods and multivariate negative binomial regression models were estimated to examine the associations between clinical measures and the numbers of office visits, peer visits, and telehealth visits.

RESULTS

Regression results indicated patients who met criteria for MUD in addition to OUD attended a higher rate of peer visits (incidence rate ratio [IRR] = 2.63, p = .036) when compared to patients who did not meet criteria for MUD. In contrast, patients with MUD and OUD diagnoses displayed significantly lower (IRR = 0.68, p < .001) engagement rates through fewer office visits relative to those who did not meet MUD criteria.

DISCUSSION AND CONCLUSIONS

Patients seeking treatment for OUD who meet criteria for MUD are more likely to engage through peer support specialists rather than office visits.

SCIENTIFIC SIGNIFICANCE

This study demonstrates the ways patients who meet criteria for OUD and MUD engage with providers to receive treatment.

Endogenous opiates and behavior: 2022

This paper is the forty-fifth consecutive installment of the annual anthological review of research concerning the endogenous opioid system, summarizing articles published during 2022 that studied the behavioral effects of molecular, pharmacological and genetic manipulation of opioid peptides and receptors as well as effects of opioid/opiate agonists and antagonists. The review is subdivided into the following specific topics: molecular-biochemical effects and neurochemical localization studies of endogenous opioids and their receptors (1), the roles of these opioid peptides and receptors in pain and analgesia in animals (2) and humans (3), opioid-sensitive and opioid-insensitive effects of nonopioid analgesics (4), opioid peptide and receptor involvement in tolerance and dependence (5), stress and social status (6), learning and memory (7), eating and drinking (8), drug abuse and alcohol (9), sexual activity and hormones, pregnancy, development and endocrinology (10), mental illness and mood (11), seizures and neurologic disorders (12), electrical-related activity and neurophysiology (13), general activity and locomotion (14), gastrointestinal, renal and hepatic functions (15), cardiovascular responses (16), respiration and thermoregulation (17), and immunological responses (18).

The motives and methods of methamphetamine and 'heroin' co-use in West Virginia

BACKGROUND

Opioid and methamphetamine co-use is increasing across the USA with overdoses involving these drugs also rising. West Virginia (WV) has led the US in opioid overdose death rates since at least 2013 and rising co-use of methamphetamine with opioids has played a greater role in deaths over the last 5 years.

METHODS

This study used rapid ethnography to examine methods and motivations behind opioids and methamphetamine co-use from the viewpoint of their consumers. Participants (n = 30) were people who injected heroin/fentanyl also using methamphetamine who participated in semi-structured interviews.

RESULTS

We found multiple methods of co-using opioids and methamphetamine, whether alternately or simultaneously and in varying order. Most prioritized opioids, with motives for using methamphetamine forming three thematic categories: 'intrinsic use', encompassing both inherent pleasure of combined use greater than using both drugs separately or for self-medication of particular conditions; 'opioid assisting use' in which methamphetamine helped people manage their existing heroin/fentanyl use; and 'reluctant or indifferent use' for social participation, reflecting methamphetamine's low cost and easy availability.

CONCLUSIONS

Methamphetamine serves multiple functions among people using opioids in WV. Beliefs persist that methamphetamine can play a role in preventing and reversing opioid overdose, including some arguments for sequential use being protective of overdose. 'Reluctant' uptake attests to methamphetamine's social use and the influence of supply. The impact on overdose risk of the many varied co-use patterns needs further investigation.

Association between treatment setting and outcomes among oregon medicaid patients with opioid use disorder: a retrospective cohort study

BACKGROUND

Residential treatment is a common approach for treating opioid use disorder (OUD), however, few studies have directly compared it to outpatient treatment. The objective of this study was to compare OUD outcomes among individuals receiving residential and outpatient treatment.

METHODS

A retrospective cohort study used linked data from a state Medicaid program, vital statistics, and the Substance Abuse and Mental Health Services Administration (SAMHSA) Treatment Episodes Dataset (TEDS) to compare OUD-related health outcomes among individuals treated in a residential or outpatient setting between 2014 and 2017. Multivariable Cox proportional hazards and logistic regression models examined the association between treatment setting and outcomes (i.e., opioid overdose, non-overdose opioid-related and all-cause emergency department (ED) visits, hospital admissions, and treatment retention) controlling for patient characteristics, co-morbidities, and use of medications for opioid use disorders (MOUD). Interaction models evaluated how MOUD use modified associations between treatment setting and outcomes.

RESULTS

Of 3293 individuals treated for OUD, 957 (29%) received treatment in a residential facility. MOUD use was higher among those treated as an outpatient (43%) compared to residential (19%). The risk of opioid overdose (aHR 1.39; 95% CI 0.73-2.64) or an opioid-related emergency department encounter or admission (aHR 1.02; 95% CI 0.80-1.29) did not differ between treatment settings. Independent of setting, MOUD use was associated with a significant reduction in overdose risk (aHR 0.45; 95% CI 0.23-0.89). Residential care was associated with greater odds of retention at 6-months (aOR 1.71; 95% CI 1.32-2.21) but not 1-year. Residential treatment was only associated with improved retention for individuals not receiving MOUD (6-month aOR 2.05; 95% CI 1.56-2.71) with no benefit observed in those who received MOUD (aOR 0.75; 95% CI 0.46-1.29; interaction p = 0.001).

CONCLUSIONS

Relative to outpatient treatment, residential treatment was not associated with reductions in opioid overdose or opioid-related ED encounters/hospitalizations. Regardless of setting, MOUD use was associated with a significant reduction in opioid overdose risk.

Adults With Opioid and Methamphetamine Co-use Have Lower Odds of Completing Short-Term Residential Treatment Than Other Opioid Co-use Groups: A Retrospective Health Services Study

Objective: There is an increase in persons entering substance use treatment who co-use opioids and methamphetamines in recent years. Co-using these substances may negatively impact treatment retention in the residential setting. We explored predictors of adults completing short-term residential treatment among persons with primary opioid use disorder (OUD) who co-use either alcohol, benzodiazepines, cocaine, or methamphetamines. Methods: This study used the 2019 de-identified, publicly available Treatment Episode Dataset-Discharges. The sample included adults discharged from short-term residential treatment with primary OUD who co-used either alcohol, benzodiazepines, cocaine, or methamphetamines. The final sample size included 24,120 treatment episodes. Univariate statistics were used to describe the sample. Two logistic regression models were used to predict completing treatment. The first logistic regression model included the co-use groups as predictors and the second model added other demographic and treatment-relevant covariates. Results: A slight majority (51.4%) of the sample prematurely discharged from treatment. Compared to the other three co-use groups, the opioid and methamphetamine co-use group had the highest proportion of individuals who were women (45.0%), unemployed (62.5%), current injection drug use (76.0%), living in the Midwest (35.9%), living in the south (33.5%), and living in the west (15.5%). The opioid and methamphetamine co-use group also had the highest proportion of individuals not receiving medications for OUD (84.9%), not having a prior treatment episode (28.7%), and not completing treatment (57.4%). In the final logistic regression model, which included covariates, the opioid and alcohol (OR = 1.18, 95% CI = 1.080-1.287, p < 0.001), opioid and benzodiazepine (OR = 1.33, 95% CI = 1.213-1.455, p < 0.001), and opioid and cocaine (OR = 1.16, 95% CI = 1.075-1.240, p < 0.001) co-use groups had higher odds of completing treatment than the opioid and methamphetamine co-use group. Conclusions: Opioid and methamphetamine co-use may complicate short-term residential treatment retention. Future work should identify effective strategies to retain persons who co-use opioids and methamphetamines in treatment.