Prescription opioid misuse motive latent classes: outcomes from a nationally representative US sample

Ecological momentary assessment of sleep, pain, and opioid use among adolescents following surgery

Background

Opioids are effective for acute pain management following surgery among adolescents, yet are associated with significant negative consequences, including respiratory depression and opioid misuse. Sleep deficiency is common following surgery and extant research indicates strong cross-sectional associations between sleep deficiency and increased problematic opioid use.

Objective

This study examined longitudinal associations between postsurgical sleep deficiency and opioid use among adolescents undergoing outpatient surgery. We also examined daily pain and mood as mechanisms linking previous night's sleep deficiency and next day prescription opioid use.

Methods

This prospective, observational study enrolled 106 adolescents (11-19 years) who underwent orthopedic outpatient surgery and collected pre-surgery and longitudinal measurements. Participants were 52% female, African-American (7%), American Indian/Alaska Native (7%), Hispanic (9%), Native Hawaiian or Other Pacific Islander (4%), or white, non-Hispanic (66%). Using ecological momentary assessment methods, participants reported sleep, pain, and mood in real time over the first 14 days following surgery. Postsurgical opioid use was measured using an electronic medication cap monitoring device, eCAPTM. Associations between variables were measured using multilevel structural equation modeling.

Results

Using multi-level mediation models, pain, but not mood-mediated associations between postsurgical sleep deficiency (sleep quality, total sleep time, sleep onset latency, and wake after sleep onset) and opioid use, at both the within-person and between-person levels. Results highlight that greater previous night's sleep deficiency (both generally and greater than a person's mean level) was associated with higher next day pain (both generally and greater than a person's mean level), which, in turn, was associated with higher opioid use. Furthermore, between-person total effect models provide support for sleep deficiency predicting higher opioid use.

Conclusions

Our findings should be considered preliminary yet underscore the need for a comprehensive and personalized approach to postsurgical pain management and opioid use, potentially implementing interventions targeting sleep quality and quantity to reduce pain and opioid use.

Indirect effects of emotion regulation in the relationship between pain and cannabis use in adults 18-64 years

INTRODUCTION

Individuals with chronic pain often receive prescription opioid medication, and they may use cannabis to treat pain as well, although the risks of cannabis-opioid co-use are significant. This study aimed to investigate whether two transdiagnostic factors, emotion regulation and distress tolerance, had significant indirect effects in the relationship between pain and cannabis use in adults with chronic pain and an opioid prescription.

METHODS

Participants (n = 450; mean age = 38.6 ± 11.09) were recruited using Qualtrics panel service and were 75 % female and 79 % White, non-Hispanic. Participants completed a 30-minute self-report survey capturing three-month cannabis use, the Difficulties in Emotional Regulation Scale (DERS), and the Distress Tolerance Scale (DTS). The Graded Pain Scale (GCPS) assessed pain severity/intensity and disability. Analyses used the SPSS PROCESS macro, with both single (i.e., one transdiagnostic factor) and parallel indirect effects (i.e., both the DERS and DTS) examined.

RESULTS

There were statistically significant indirect effects for both the DERS and DTS in the relationship between pain intensity or disability and three-month cannabis use in single factor models. In the parallel indirect effect model, only the DERS was statistically significant (intensity indirect effect coefficient = 0.0195 % confidence interval [95 %CI] = 0.0065, 0.390; disability indirect effect coefficient = 0.0147, 95 %CI = 0.0055, 0.0274).

CONCLUSIONS

When examining parallel indirect effects, only emotional regulation and not distress tolerance mediated the relationship between chronic pain and cannabis use among those with an opioid prescription. Clinically, interventions aimed at improving emotional regulation in individuals with chronic pain can help limit cannabis and opioid co-use.

Motivations for Misusing Opioids Among African Americans

BACKGROUND

A wide range of opioid misuse motives have been documented in the literature, including to relieve physical pain, feel good/get high, relax, manage feelings/emotions, sleep, and moderate the effects of other substances. Despite a rise in opioid misuse among African Americans over the last 2 decades, their motivations for misuse remain unclear. Much of the research on opioid misuse motivations either rely on samples with little racial diversity or do not stratify their findings by race. As a result, less is known about the specific reasons why African Americans engage in opioid misuse. The objective of this study, therefore, was to identify and explain the most common motives for misusing opioids among African Americans. Qualitative interview data are also presented to explain/contextualize the most prevalent motivations.

METHODS

This study used data from the Florida Minority Health Survey, a mixed-methods project that included online surveys (n = 303) and qualitative in-depth interviews (n = 30) of African Americans. Data collection was conducted from August 2021 to February 2022 throughout Southwest Florida.

RESULTS

Analyses revealed that while some (33.9%) misused opioids for purposes of recreation/sensation seeking (eg, feel good/get high), the majority (66.1%) were attempting to self-treat perceived medical symptoms (eg, physical pain, anxiety/trauma, withdrawals, insomnia).

CONCLUSIONS

This study contributes to a better understanding of why some African Americans engage in opioid misuse and findings highlight the need for interventions to be trauma informed and address unmanaged physical pain among African Americans. Given that most studies on motivations are quantitative in nature, the study contributes to the literature by capturing the voices of African Americans who use drugs.

Predicting first use of heroin from prescription opioid use subtypes: Insights from the Monitoring the Future longitudinal panel

BACKGROUND

Only a small proportion of individuals who initiate nonmedical use of prescription opioids (NUPO) transition to heroin, suggesting that more nuanced aspects of NUPO may be better indicators of risk for escalating opioid use trajectories. This study leveraged panel data to identify NUPO typologies based on NUPO characteristics associated with opioid risk trajectories (route of administration, motives) and compared rates of heroin initiation at follow-up across typologies.

METHODS

Latent class analyses were run among respondents with no history of heroin use from the Monitoring the Future Panel Study (base year N=10,408) at modal ages 18, 19/20, 21/22, 23/24, and 25/26. Indicators included oral NUPO, nonoral NUPO, and NUPO motives to experiment, have a good time with friends, get high, escape problems, manage pain, relax, and sleep. Heroin initiation at follow-ups through modal age 29/30 was predicted from class membership.

RESULTS

No NUPO, self-medication (oral, manage pain), recreational (oral, nonoral, experiment, get high, have a good time with friends), and mixed-motive (all routes, all motives) classes emerged. Heroin initiation rates did not differ across no NUPO and self-medication classes; recreational and mixed-motives classes initiated heroin at higher rates than the other classes and comparable rates to each other. Non-NUPO drug use prior to heroin initiation was prevalent in recreational and mixed-motive classes.

CONCLUSIONS

NUPO does not uniformly or uniquely increase risk for heroin initiation. Leveraging more nuanced indicators of risk for heroin use and targeting polysubstance use in addition to opioid-specific programming may enhance the efficacy of public health efforts.

Opioid coping motives and pain intensity among adults with chronic low back pain: associations with mood, pain reactivity, and opioid misuse

Chronic low back pain (CLBP) is a significant public health problem that is associated with opioid misuse and use disorder. Despite limited evidence for the efficacy of opioids in the management of chronic pain, they continue to be prescribed and people with CLBP are at increased risk for misuse. Identifying individual difference factors involved in opioid misuse, such as pain intensity as well as reasons for using opioids (also known as motives), may provide pertinent clinical information to reduce opioid misuse among this vulnerable population. Therefore, the aims of the current study were to examine the relationships between opioid motives-to cope with pain-related distress and pain intensity, in terms of anxiety, depression, pain catastrophizing, pain-related anxiety, and opioid misuse among 300 (Mage= 45.69, SD = 11.17, 69% female) adults with CLBP currently using opioids. Results from the current study suggest that both pain intensity and motives to cope with pain-related distress with opioids were associated with all criterion variables, but the magnitude of variance explained by coping motives was larger than pain intensity in terms of opioid misuse. The present findings provide initial empirical evidence for the importance of motives to cope with pain-related distress with opioids and pain intensity in efforts to better understand opioid misuse and related clinical correlates among adults with CLBP.

Intentional use of both opioids and cocaine in the United States

The combination of opioids and cocaine has been increasingly implicated in overdose fatalities, but it is unknown how much is intentional vs. fentanyl-adulterated drug supply. 2017-2019 data from the nationally representative National Survey on Drug Use and Health (NSDUH) was used. Variables included sociodemographics, health, and 30-day drug use. Opioid use captured heroin, and prescription pain reliever use not according to own doctor. Modified Poisson regressions were used to estimate prevalence ratios (PRs) for variables associated with opioid and cocaine use. Among the 167,444 responders, 817(0.49%) reported use of opioids on a regular or daily basis. Of these, 28% used cocaine ≥1 of prior 30 days, 11% >1 day. Of 332(0.20%) who used cocaine on a regular/daily basis, 48% used opioids ≥1 of prior 30 days, 25% >1 day. People with serious psychological distress were >6 times as likely to use both opioids and cocaine regularly/daily (PR = 6.48; 95% CI = [2.82-14.90]) and people who have never been married were 4 times as likely (PR = 4.17; 95% CI = [1.18-14.75]). Compared to those living in a small metropolitan region, people living in a large metropolitan region were >3 times as likely (PR = 3.29; 95% CI = [1.43-7.58]) and the unemployed were twice as likely (PR = 1.96; 95% CI = [1.03-3.73]). People with post-high school education were 53% less likely to use opioids and cocaine at least occasionally (PR = 0.47; 95% CI = [0.26-0.86]). People who use opioids or cocaine commonly choose to use the other. Knowing the characteristics of those most likely to use both should guide interventions for prevention and harm reduction.

Variation in Clinical Characteristics and Longitudinal Outcomes in Individuals with Opioid Use Disorder Diagnosis Codes

BACKGROUND

Patterns of opioid use vary, including prescribed use without aberrancy, limited aberrant use, and potential opioid use disorder (OUD). In clinical practice, similar opioid-related International Classification of Disease (ICD) codes are applied across this spectrum, limiting understanding of how groups vary by sociodemographic factors, comorbidities, and long-term risks.

OBJECTIVE

(1) Examine how Veterans assigned opioid abuse/dependence ICD codes vary at diagnosis and with respect to long-term risks. (2) Determine whether those with limited aberrant use share more similarities to likely OUD vs those using opioids as prescribed.

DESIGN

Longitudinal observational cohort study.

PARTICIPANTS

National sample of Veterans categorized as having (1) likely OUD, (2) limited aberrant opioid use, or (3) prescribed, non-aberrant use based upon enhanced medical chart review.

MAIN MEASURES

Comparison of sociodemographic and clinical factors at diagnosis and rates of age-adjusted mortality, non-fatal opioid overdose, and hospitalization after diagnosis. An exploratory machine learning analysis investigated how closely those with limited aberrant use resembled those with likely OUD.

KEY RESULTS

Veterans (n = 483) were categorized as likely OUD (62.1%), limited aberrant use (17.8%), and prescribed, non-aberrant use (20.1%). Age, proportion experiencing homelessness, chronic pain, anxiety disorders, and non-opioid substance use disorders differed by group. All-cause mortality was high (44.2 per 1000 person-years (95% CI 33.9, 56.7)). Hospitalization rates per 1000 person-years were highest in the likely OUD group (831.5 (95% CI 771.0, 895.5)), compared to limited aberrant use (739.8 (95% CI 637.1, 854.4)) and prescribed, non-aberrant use (411.9 (95% CI 342.6, 490.4). The exploratory analysis reclassified 29.1% of those with limited aberrant use as having likely OUD with high confidence.

CONCLUSIONS

Veterans assigned opioid abuse/dependence ICD codes are heterogeneous and face variable long-term risks. Limited aberrant use confers increased risk compared to no aberrant use, and some may already have OUD. Findings warrant future investigation of this understudied population.

Quality of Life and Opioid Use Motives: Direct and Indirect Associations with Risky Opioid Use in a Community Sample of Adults

Purpose: The opioid epidemic in the United States has resulted in mass mortality and economic costs exceeding $1 trillion. Poor health-related quality of life is evident among individuals entering treatment for opioid use disorder (OUD). Yet, little research has examined the influence of quality of life on risky opioid use among non-treatment-seeking adults. To help inform OUD prevention efforts, this study examined the association among quality of life domains, opioid use motives, and risky opioid behaviors in a community sample of opioid users. Methods: Participants (N = 278) were adults who endorsed past month opioid use and were not currently in treatment for OUD. Participants responded to questions regarding their opioid use and misuse, opioid use motives, opioid use consequences, and quality of life. Results: The physical health domain of quality of life was associated with risky opioid use. Specifically, poorer physical health predicted risky opioid use and this relationship was partially explained by more social and pain motives to use opioids. Surprisingly, no other quality of life domains predicted risky opioid use. Conclusion: This study represents a meaningful first step in identifying optimal targets for OUD prevention efforts with community samples. Our findings suggest that physical health is an important quality of life indicator to prevent opioid-related harm and development of OUD.

Are Pain and Negative Affect Coping Distinct Motives for Opioid Misuse?

Background: Coping with pain is a commonly reported motive for opioid misuse. Opioids also provide relief of stress and negative affect and thus are often misused to cope with these emotional states. Although several studies have investigated coping motives in people who misuse opioids, it remains unclear whether pain coping and negative affect coping are distinct or overlapping motives for misuse. Objectives: In this study, we examined opioid use motives (enhancement, social, negative affect coping, and pain coping) in a sample of 52 adults seeking treatment for opioid use disorder. We used an adaptation of the Drug Use Motives Questionnaire that included an additional 5 items to assess pain coping motives for use. Results: Results indicated that pain coping was not significantly associated with other motives for use, including negative affect coping. Pain coping motives were strongly correlated with both pain severity (r = .51) and pain interference (r = .39), but not anxiety severity. Conversely, negative affect coping motives were strongly correlated with anxiety severity (r = .45), but not pain severity or interference. Conclusions: These results suggest that pain coping motives may be distinct from negative affect coping motives and should be assessed separately.

Motivations for Prescription Drug Misuse Related to Mental Health Problems in Adults

BACKGROUND

Prescription drug misuse (PDM) is a significant public health problem associated with mental health symptoms.

OBJECTIVES

This project investigates the connections between PDM motivations and mental health to inform intervention efforts.

METHODS

Using nationally representative adult data from the 2016-2018 National Survey on Drug Use and Health (N = 128,205; 53% female) this project investigated which motivations for misuse are related to past-year mental health problems including any mental illness, serious mental illness, major depressive episode, and suicidal thoughts. Complex samples logistic regression models of the main motivation of PDM for each mental health problem were conducted separately for each prescription drug class (i.e., opioids, tranquilizers, sedatives, and stimulants) while controlling for demographic characteristics.

RESULTS

Adults that reported PDM were more likely than those with no PDM to endorse past year mental health problems. Compared to those that reported PDM of other medications, those misusing prescription opioids and tranquilizers to help with emotions and misusing sedatives to "relax or relieve tension" were more likely to have all categories of mental health problems. Those that misused prescription stimulants to "help study" had lower odds of all mental health problems.

CONCLUSIONS

While there were differences based on prescription drug class, a range of motivations increased adults' likelihood to have mental health problems and common themes were found across drug classes. While causality is still undetermined, prevention and intervention efforts that are multifaceted and individualized, while broadly providing adults with other ways to cope with negative emotions are likely to help reduce PDM.

Co-ingestion of prescription drugs and alcohol in US adults aged 50 years or older

OBJECTIVE

To examine prevalence of past-month prescription drug misuse (PDM) and alcohol co-ingestion and its correlates in adults age 50 or older.

METHODS

Data were from the 2015-2018 US National Survey on Drug Use and Health (n = 35,190). PDM-alcohol co-ingestion was defined as prescription opioid, tranquilizer/sedative, or stimulant misuse while "drinking alcohol or within a couple of hours of drinking." Co-ingestion prevalence was estimated, and logistic and negative binomial regressions examined the sociodemographic, physical health, mental health, substance use, and substance use disorder (SUD) correlates of co-ingestion.

RESULTS

Over 344,000 adults aged 50 years or older (0.3%) engaged in past-month PDM-alcohol co-ingestion, or 27.4% of those with past-month PDM. Past-month co-ingestion was linked to greater past-month alcohol use frequency and elevated adjusted odds ratios (aORs) for all examined substance use outcomes (e.g., non-PDM SUD aOR = 21.8; 49.7% prevalence rate). The aOR for suicidal ideation was 506% higher in those with co-ingestion than those without past-year PDM.

CONCLUSIONS

US adults aged 50 years or older with past-month PDM-alcohol co-ingestion are at high risk for SUD and concerning mental health symptoms. Screening for mental health and substance use treatment is warranted among aging adults with signs of PDM, especially involving co-ingestion.

Clinical prediction of extra-medical use of prescription pain relievers from a representative United States sample

Use of prescription opioids 'beyond the bounds' of medical guidance can lead to opioid dependence. Yet recent efforts to predict extra-medical use of prescription pain relievers (EMPPR) have relied on electronic medical or pharmacy records. Because peak incidence of EMPPR occurs during adolescence- a time of relative health- administrative data may be inadequate. In this study, with data from a United States (US) population sample, we develop and internally validate an EMPPR prediction model. We analyzed data from 234,593 individuals aged 12-to-17-years, as sampled by the US National Survey of Drug Use and Health, 2004-2018, an annual cross-sectional survey. We encoded 14 predictors with onset prior to EMPPR initiation, including age, sex, and facets of drug and psychiatric history. We ranked these predictors by clinical utility before sequentially adding each to a regularized logistic regression model. On held-out test data (n = 23,685), the model performs well with 14 predictors, with an area under the precision recall curve (AUPRC) is 0.155. The area under the receiver operator curve (AUC) is 0.819, exceeding a recent benchmark on this dataset. Results are robust to survey redesign that occurred in 2015, and are not moderated by past-year use of medical services. In conclusion, while selection of predictors is limited to those with known timing prior to initiation of EMPPR rather than any cross-sectional variable, this model discriminates well. Good classification occurs even with a small set of clinically available predictors- age, a history of depression and alcohol, cigarette, and cannabis use.

Associations between adolescent sleep deficiency and prescription opioid misuse in adulthood

STUDY OBJECTIVES

The main aim of this study was to estimate the association between sleep deficiency in adolescence and subsequent prescription opioid misuse in adulthood using United States nationally representative longitudinal data.

METHODS

Self-reported data captured in the National Longitudinal Study of Adolescent to Adult Health at baseline (Wave 1; mean age = 16 years) and 12 year follow-up (Wave 4; mean age = 29 years). Participants (n = 12,213) reported on four measures of sleep during adolescence (Wave 1) and on lifetime prescription opioid misuse during adulthood (Wave 4). Associations between adolescent sleep and adult opioid misuse were estimated using multivariate logistic regression analysis controlling for sociodemographics, chronic pain, mental health, childhood adverse events, and a history of substance use.

RESULTS

During adolescence, 59.2% of participants reported sleep deficiency. Prospectively, adolescents reporting not getting enough sleep, chronic unrestful sleep, and insomnia were associated with an increased risk for prescription opioid misuse (adjusted odds ratios [OR] = 1.2, p < 0.005 for all three variables). Short sleep duration was not associated with opioid misuse.

CONCLUSION

This is the first study to longitudinally link sleep deficiency as an independent risk factor for the development of prescription opioid misuse. Sleep deficiency could be a driver of the opioid crisis affecting young people in the United States. Future studies should determine whether early and targeted sleep interventions may decrease risk for opioid misuse in high-risk patients prescribed opioids for pain.

Opioid use at the transition to emerging adulthood: A latent class analysis of non-medical use of prescription opioids and heroin use

BACKGROUND

Although rates of nonmedical opioid use are highest in late adolescence and emerging adulthood, efforts to understand the extent of the heterogeneity in opioid misuse during this time have been limited. The current study aimed to derive and define typologies of opioid use in high school students at the onset of emerging adulthood.

METHODS

Survey responses from a statewide sample of high school students aged 18 and 19 (N = 26,223) were analyzed. Group-based comparisons between participants reporting opioid use and those not reporting opioid use were conducted. Among those reporting opioid use (n = 1,636), we conducted a latent class analysis (LCA) to identify heterogeneous subgroups of opioid users on the basis of non-medical use of prescription opioids (NMUPO) and heroin use. The resulting classes were then compared across various risk and protective factors using multinominal logistic regression.

RESULTS

Consistent differences were observed between participants using opioids and participants not using opioids, with moderate to large effect sizes. Results from LCA revealed three subclasses: NMUPO-Any Use, NMUPO To Get High, and Heroin Use. Subclass differences were observed for non-opioid substance use, mental health, and demographics.

CONCLUSIONS

Findings from this study underscore the variability of youth who engage in opioid use in late adolescence. Results also indicate that opioid use during adolescence is likely indicative of a broader set of substance use and mental health issues.

Sexual Identity and Motivations for Prescription Drug Misuse Among U.S. Adults

Purpose: Although we know that sexual minority populations, particularly bisexual individuals, tend to be at increased risk for substance use, less research has focused on prescription drug misuse (PDM). The current study is the first to assess differences in motivations for PDM by sexual identity and sex. This is important as research has established a link between certain motivations and adverse outcomes. Methods: This study used data from multiple years of the National Survey on Drug Use and Health (2015-2018). Respondents who reported past-year PDM were asked follow-up questions to identify motivations for PDM. We ran several weighted cross-tabulations to estimate the prevalence and 95% confidence intervals for motivations for PDM by sexual identity (i.e., heterosexual, lesbian or gay, and bisexual) for males and females separately. When chi-square tests were significant, post hoc comparisons using design-based multivariable regressions were conducted. Results: Prevalence rates for both PDM and substance use disorder associated with prescription drugs were higher among sexual minority adults than heterosexual adults. With regard to motives, bisexual females were more likely to endorse recreational motives (i.e., to get high) for prescription opioids, tranquilizers, and stimulants than heterosexual females. Gay males were more likely to endorse self-treatment motives (e.g., to relax, to lose weight) than both bisexual and heterosexual males. Conclusion: High prevalence rates and endorsement of recreational motives identify bisexual females as an important at-risk population. It is important for clinicians to consider how prevention, treatment, and intervention strategies focused on PDM may be improved to best target this unique population.

Poly-prescription drug misuse across the life course: Prevalence and correlates across different adult age cohorts in the U.S

BACKGROUND

Most research on prescription drug misuse (PDM) focuses on the misuse of specific classes of psychoactive prescription drugs among adolescents or young adults. The current research addressed important gaps in the literature by assessing poly-prescription drug misuse (poly-PDM), the misuse of more than one class of psychoactive prescription drug, across different adult age cohorts.

METHODS

We used the 2015-2018 National Survey on Drug Use and Health to examine the prevalence of past-year poly-PDM and specific combinations of PDM. Multinomial logistic regression was used to identify demographic, health-related factors, and substance use behaviors that were significantly associated with poly-PDM.

RESULTS

The prevalence of poly-PDM decreases with age and is common among individuals who engage in PDM. Slightly more than one in four respondents in age cohorts 18-25 (31.66%, 95% CI = 30.35, 33.00) and 26-34 (29.92%, 95% CI = 25.82, 30.12) who engage in PDM, misused more than one class of prescription drug. Additionally, poly-PDM was identified as a high-risk type of PDM as roughly 60% of adults younger than 65 who endorse poly-PDM reported having a substance use disorder (SUD). While certain characteristics (i.e., race/ethnicity, marital status, depression, suicidal ideation, illegal drug use, and SUD) were consistently associated with poly-PDM across age cohorts, other characteristics (i.e., sexual identity, income, and justice involvement) varied across age cohorts. Finally, a comparison of poly-PDM to single PDM showed, in all age cohorts, that having an SUD was associated with an increased likelihood of poly-PDM, while Black adults were less likely than whites to report poly-PDM.

CONCLUSIONS

By identifying prevalence and correlates of poly-PDM across adult age cohorts, the current research has significant implications. Understanding stability and heterogeneity in the characteristics associated with poly-PDM should inform interventions, identify at-risk groups, and shape public health approaches to dealing with high-risk substance use behavior.

Negative affect-associated drug refusal self-efficacy, illicit opioid use, and medication use following short-term inpatient opioid withdrawal management

INTRODUCTION

Persons with opioid use disorder (OUD) are prone to frequent relapse following brief inpatient medically managed withdrawal. This longitudinal, naturalistic study examines associations among illicit opioid use, use of medication for opioid use disorder (MOUD), and one's confidence in the ability to resist drug use in the face of negative emotions (i.e., negative affect-associated drug refusal self-efficacy).

METHOD

Participants were 220 adults with OUD who recently completed a short-term inpatient program and the study followed for 6 months. At baseline, participants reported demographics, illicit opioid use, recent engagement with MOUD, and negative affect-associated drug refusal self-efficacy. At follow-up (1 week and 1-, 3-, and 6-months following discharge), participants reported illicit opioid use and MOUD.

RESULTS

Participants averaged 30.7 years of age, 63.2% were male, and 84.1% were white. Both illicit opioid use and rates of MOUD increased during the 6-month follow-up period, although only 34.1% received MOUD. At baseline, participants reported less than 50% self-confidence to resist using opioids during negative emotional states. Baseline negative affect-associated drug refusal self-efficacy inversely predicted illicit opioid use (p = .01) at follow-up but was not associated with follow-up MOUD.

CONCLUSION

Among persons with OUD, lower confidence to resist using opioids in negative emotional states predicts greater use of illicit opioids in the months following medically managed withdrawal, even with receipt of MOUD.

Prescription opioid misuse and its correlates among veterans and military in the United States: A systematic literature review

BACKGROUND

Prescription opioid misuse (POM) has become a critical public health issue in the United States (US), with veteran and military population being especially vulnerable to POM. However, limited behavioral interventions have been developed for veterans and military to reduce POM risk due to the lack of an adequate understanding of POM andrelated factors among veterans and military. The current study aims to review and synthesize empirical findings regarding POM and its correlates among US veterans and military.

METHODS

We conducted a systematic review of 17 empirical studies (16 quantitative studies and one qualitative study) from 1980 to 2019 that reported POM statistics (e.g., prevalence) and examined correlates of POM in veterans and military.

RESULTS

The prevalence of POM in veterans and military ranged from 6.9%-77.9% varying by study samples, individual POM behaviors, and recalled time periods. Several factors were identified to be associated with POM in veterans and military. These factors included socio-demographic factors (age, race/ethnicity, education, relationship status, and military status), pain-related factors (pain symptoms, severity, interference, and cognitions), other physical factors (e.g., common illness), opioid-medication-related factors (receipt of opioid medications and quantity of opioid medications), behavioral factors (substance use disorder, alcohol use, cigarette use, and other prescription drug use), and psychological factors (psychiatric symptoms and cognitive factors).

CONCLUSIONS

POM was prevalent in veterans and military and could be potentially influenced by multiple psycho-behavioral factors. Future research guided by a theoretical framework is warranted to examine psycho-behavioral influences on POM and their mechanisms and to inform effective psychosocial POM interventions in veterans and military.

Prescription opioid use and associated factors among US construction workers

BACKGROUND

Construction workers are among the segments of the US population that were hit hardest by the opioid prescription and overdose deaths in the past decades. Factors that underlie opioid use in construction workers have been compartmentalized and isolated in existing studies of opioid use and opioid overdose, but they ignore the overall context of their use. This study examines prescription opioid use and its association with a variety of occupational and nonoccupational factors in construction workers in the United States.

METHODS

Data from the 2011-2017 Medical Expenditure Panel Survey (n = 7994) were analyzed. The prevalence of prescribed opioid use and the association with occupational and nonoccupational characteristics among construction workers were examined in four multiple logistic regression models.

RESULTS

The odds of prescription opioid use for workers with occupational injuries was more than triple that of their noninjured counterparts when demographics and occupational factors were controlled (odds ratio = 3.38, 95% confidence interval: 2.38-4.81). Odds of prescription opioid use were higher in older construction workers, workers who were white, non-Hispanic, working part-time, and in poorer health, while Hispanic workers and those without health insurance were much less likely to report prescription opioid use.

CONCLUSIONS

Prescription opioid use among construction workers encompasses both occupational and nonoccupational factors. As an insight into opioid use among construction workers becomes clearer, effectively responding to the opioid crisis remains a challenge.

Substance use patterns and health profiles among US adults who use opioids, methamphetamine, or both, 2015-2018

BACKGROUND

Methamphetamine use, with and without opioids, has increased substantially, but little is known about the sociodemographic characteristics, substance use patterns, or health profiles of individuals who use methamphetamine. To design effective public health interventions, health care professionals and policymakers need data describing individuals who are using methamphetamine in the midst of the opioid crisis.

METHODS

We used 2015-2018 data from the National Survey on Drug Use and Health and included non-elderly adults aged 18-64 years. We categorized respondents into three groups: use of opioids without methamphetamine use, use of methamphetamine without opioid use, or use of both opioids and methamphetamine. Multiple logistic regression models controlling for sociodemographic factors were used to compare substance use characteristics and measures of individual health between the three groups.

RESULTS

People who used any methamphetamine were more likely to be unstably housed, low-income, and live in rural areas. Use of both opioids and methamphetamine was associated with a 132 % higher prevalence of injection needle use, and a nearly twofold higher prevalence of viral hepatitis compared with opioid use alone. One third of individuals reporting use of both opioids and methamphetamine had a severe mental illness, a 55 % higher prevalence than those using opioids alone.

CONCLUSIONS

Individuals who used opioids and methamphetamine had more complex substance use and health profiles than individuals who used opioids alone. These findings suggest public health and harm reduction approaches designed to address opioid use remain important in an era of rising methamphetamine use.