Understanding the rural-urban differences in nonmedical prescription opioid use and abuse in the United States

Left, right, and meeting in the middle: Addressing addiction is something we can agree about

The United States faces an addiction health crisis. Presidential election cycles in the United States are cause for creation of political party platforms. These platforms provide general stances and specific policies on a variety of issues. We undertook a review of the addiction policies of the 2016 Republican and Democratic platforms. Despite differences in focus, we found more similarities than differences between the two. We call upon those in political power to use every evidence-based policy at their disposal to promote addiction treatment and prevention.

Current Rural Drug Use in the US Midwest

The nature and challenge of illicit drug use in the United States continues to change rapidly, evolving in reaction to myriad social, economic, and local forces. While the use of illicit drugs affects every region of the country, most of our current information about drug use comes from large urban areas. Data on rural drug use and its harms justify greater attention. Record overdose rates, unexpected outbreaks of HIV, and a dearth of treatment facilities point to a rapidly worsening health situation. While health sciences have made considerable progress in understanding the etiology of drug use and uncovering the link between drug use and its myriad associated harms, this promising scientific news has not always translated to better health outcomes. The scope of the problem in the Central Plains of the US is growing, and can be estimated from available sources. Clear remedies for this rising level of abuse are available, but few have been implemented. Suggestions for short-term policy remedies are discussed.

Overview on Prevalence and Recent Trends in Adolescent Substance Use and Abuse

Substance use and consequent disorders have burdened US health care, criminal justice, and society at large for centuries. Pathological substance use almost invariably begins before 25 years of age, demonstrating how critical adolescence is within the etiology, prevention, and treatment of substance use disorder. This article provides a high-level overview of the prevalence of substance use disorders to provide a context within which the remaining issue provides in-depth descriptions of the evidence on specific topics. Described herein are trends in substance use, substance use disorder, and demographic comparisons.

Event-level analyses of sex-risk and injection-risk behaviors among nonmedical prescription opioid users

BACKGROUND

Nonmedical prescription opioid use has been linked to hepatitis C virus (HCV) infection among people who inject drugs and with using high dead space syringes that retain more blood and transfer more HIV if shared. Little is known regarding its effects on sex-risk behaviors.

OBJECTIVES

This paper examines event-level associations between nonmedical prescription opioid use and sharing high dead space syringes (injection risk) and unprotected intercourse (sex risk) behaviors.

METHODS

We recruited 1,985 participants from two overlapping risk groups-drug users and men who have sex with men (MSM)-and their sex partners. Participants completed an interview that included event-level sex questions with recent sex partners and injection questions with recent injection partners. We used multivariable generalized estimating equations (GEE) to assess the associations between nonmedical prescription opioid use and unprotected intercourse during sexual encounters and sharing syringes during injection episodes, while adjusting for within-person correlations.

RESULTS

When both partners used nonmedical prescription opioids, its use was independently associated with unprotected intercourse in sexual encounters (OR = 2.24; 95% CI = 1.12, 4.49). The use of nonmedical prescription opioids was also associated with sharing high dead space syringes during injection episodes (OR = 6.57; 95% CI = 1.63, 26.51).

CONCLUSION

Nonmedical prescription opioid use is associated with an increase in the risk of unprotected sex and sharing high dead space syringes. HIV and HCV prevention interventions for nonmedical prescription opioid users should address sex-risk behaviors and encourage the use of acceptable low dead space needles and syringes.

Opioid overdose leading to intensive care unit admission: Epidemiology and outcomes

PURPOSE

There is a scarcity of studies assessing the patient population admitted to the intensive care unit (ICU) with opioid overdose. We sought to characterize the epidemiologic features and outcomes of this patient population.

MATERIALS AND METHODS

This is a retrospective cohort study of adult patients admitted to the ICU at University of Louisville Hospital for opioid overdose. We reviewed each patient's hospital record for demographic data, comorbidities, opioid used, coingestions, and outcomes.

RESULTS

We included 178 adult patients, of which 107 (60%) were females. The median age was 41 years (interquartile range [IQR], 23). Oxycodone and hydrocodone were the 2 most commonly abused opioids. Benzodiazepines were the most common drug coingested, followed by amphetamines. Tobacco smoking, chronic pain, and alcoholism were the most frequent comorbidities identified. Mental disorders were also common. Most patients required invasive mechanical ventilation (84.8%). Median ICU length of stay was 3 days. Eighteen patients (10.1%) died in the hospital, whereas 6 patients (3.4%) were discharged to a nursing home. Patients who had any coingestion were significantly more likely to undergo invasive mechanical ventilation (91% vs 77%; P=.014) and had longer ICU length of stay (3 [IQR, 2] vs 2 [IQR, 1.8] days; P=.024).

CONCLUSION

Opioid overdose is a common cause of ICU admission and affects a relatively young population. Most have respiratory failure requiring mechanical ventilation. It is associated with a relatively high inhospital mortality. Coingestions appear to have an impact on outcomes.

The extent and correlates of community-based pharmaceutical opioid utilisation in Australia

PURPOSE

There has been concern regarding the increasing use of opioids and related harm. We present data on opioid utilisation across Australia and consider sociodemographic factors that may affect utilisation rates.

METHODS

IMS Health national sales data for over-the-counter (codeine) and prescription opioids (buprenorphine, codeine, dextropropoxyphene, fentanyl, hydromorphone, methadone, morphine, oxycodone, tapentadol and tramadol) were used to estimate total utilisation rates in the community during 2013, mapped to Statistical Local Areas (SLAs) and Remoteness Areas. All opioid amounts were measured in pack sales and milligrammes then converted to oral morphine equivalent milligrammes (OME mg) for comparison across opioids. Data on the demographic characteristics of SLAs were obtained from the ABS (sex and age distribution, income and levels of physical labour) and other sources (number of pharmacies in SLAs) and were included in linear regression analyses.

RESULTS

In 2013, an estimated 10 747 kg (OME) of opioids were sold across Australia, equating to 481 OME mg per person. There was considerable geographic variation in opioid utilisation, with higher rates of use in rural and regional areas. Geographic areas that were less populated, had more men and older people, proportionally more low-income earning households and greater proportions in jobs requiring physical labour had higher utilisation rates.

CONCLUSIONS

Substantial geographic variation in opioid utilisation was identified, with areas outside of major cities having higher rates of utilisation of all types of opioids. Prescription monitoring and best practice interventions aimed at improving opioid use need to have a particular focus on areas outside of major cities. Copyright © 2016 John Wiley & Sons, Ltd.

Examining Rural/Urban Differences in Prescription Opioid Misuse Among US Adolescents

PURPOSE

This study examines differences in prescription opioid misuse (POM) among adolescents in rural, small urban, and large urban areas of the United States and identifies several individual, social, and community risk factors contributing to those differences.

METHODS

We used nationally representative data from the 2011 and 2012 National Survey on Drug Use and Health and estimated binary logistic regression and formal mediation models to assess past-year POM among 32,036 adolescents aged 12-17.

RESULTS

Among adolescents, 6.8% of rural, 6.0% of small urban, and 5.3% of large urban engaged in past-year POM. Net of multiple risk and protective factors, rural adolescents have 35% greater odds and small urban adolescents have 21% greater odds of past-year POM compared to large urban adolescents. The difference between rural and small urban adolescents was not significant. Criminal activity, lower perceived substance use risk, and greater use of emergency medical treatment partially contribute to higher odds among rural adolescents, but they are also partially buffered by less peer substance use, less illicit drug access, and stronger religious beliefs.

CONCLUSIONS

Researchers, policy makers, and treatment providers must consider the complex array of individual, social, and community risk and protective factors to understand rural/urban differences in adolescent POM. Potential points of intervention to prevent POM in general and reduce rural disparities include early education about addiction risks, use of family drug courts to link criminal offenders to treatment, and access to nonemergency medical services to reduce rural residents' reliance on emergency departments where opioid prescribing is more likely.

Emerging and Underrecognized Complications of Illicit Drug Use

Illicit drug use can result in a wide range of medical complications. As the availability, synthesis, and popularity of illicit drugs evolve over time, new syndromes associated with their use may mimic infections. Some of these symptoms are anticipated drug effects, and others are complications of adulterants mixed with drugs or complications from the method of using drugs. Some illicit drugs are associated with rare infections, which are difficult to diagnosis with standard microbiological techniques. The goal of this review is to orient a wide range of clinicians-including general practitioners, emergency medicine providers, and infectious diseases specialists-to complications of illicit drug use that may be underrecognized. Improving awareness of infectious and noninfectious complications of illicit drug can expedite diagnosis and medical treatment of persons who use drugs and facilitate targeted harm reduction counseling to prevent future complications.

Racial/ethnic differences in trends in heroin use and heroin-related risk behaviors among nonmedical prescription opioid users

BACKGROUND

This study examines changing patterns of past-year heroin use and heroin-related risk behaviors among individuals with nonmedical use of prescription opioids (NMUPO) by racial/ethnic groups in the United States.

METHODS

We used data from the National Survey on Drug Use and Health (NSDUH) from 2002 to 2005 and 2008 to 2011, resulting in a total sample of N = 448,597.

RESULTS

Past-year heroin use increased among individuals with NMUPO and increases varied by frequency of past year NMUPO and race/ethnicity. Those with NMUPO in the 2008-2011 period had almost twice the odds of heroin use as those with NMUPO in the 2002-2005 period (OR = 1.89, 95%CI: 1.50, 2.39), with higher increases in non-Hispanic (NH) Whites and Hispanics. In 2008-2011, the risk of past year heroin use, ever injecting heroin, past-year heroin abuse or dependence, and the perception of availability of heroin increased as the frequency of NMUPO increased across respondents of all race/ethnicities.

CONCLUSION

Individuals with NMUPO, particularly non-Hispanic Whites, are at high risk of heroin use and heroin-related risk behaviors. These results suggest that frequent nonmedical users of prescription opioids, regardless of race/ethnicity, should be the focus of novel public health efforts to prevent and mitigate the harms of heroin use.

Nonmedical prescription drug use among US young adults by educational attainment

PURPOSE

Little is known about nonmedical use of prescription drugs among non-college-attending young adults in the United States.

METHODS

Data were drawn from 36,781 young adults (ages 18-22 years) from the 2008-2010 National Survey on Drug Use and Health public use files. The adjusted main effects for current educational attainment, along with its interaction with gender and race/ethnicity, were considered.

RESULTS

Compared to those attending college, non-college-attending young adults with at least and less than a HS degree had a higher prevalence of past-year nonmedical use of prescription opioids [NMUPO 13.1 and 13.2 %, respectively, vs. 11.3 %, adjusted odds ratios (aORs) 1.21 (1.11-1.33) and 1.25 (1.12-1.40)], yet lower prevalence of prescription stimulant use. Among users, regardless of drug type, non-college-attending youth were more likely to have past-year disorder secondary to use [e.g., NMUPO 17.4 and 19.1 %, respectively, vs. 11.7 %, aORs 1.55 (1.22-1.98) and 1.75 (1.35-2.28)]. Educational attainment interacted with gender and race: (1) among nonmedical users of prescription opioids, females who completed high school but were not enrolled in college had a significantly greater risk of opioid disorder (compared to female college students) than the same comparison for men; and (2) the risk for nonmedical use of prescription opioids was negligible across educational attainment groups for Hispanics, which was significantly different than the increased risk shown for non-Hispanic whites.

CONCLUSIONS

There is a need for young adult prevention and intervention programs to target nonmedical prescription drug use beyond college campuses.

Non-medical use of non-opioid psychotherapeutic medications in a community-based cohort of HIV-infected indigent adults

BACKGROUND

Non-opioid psychotherapeutic medications significantly increase the risk of opioid overdose-related deaths. We prospectively followed HIV-infected indigent adults sampled from the community to examine rates of and factors associated with non-medical use of benzodiazepines, muscle relaxants, and prescription stimulants.

METHODS

We interviewed participants quarterly for 2 years about alcohol and illicit substance use; depression; use of prescribed opioid analgesics, benzodiazepines and muscle relaxants; opioid analgesic misuse; and non-medical use (i.e., use without a prescription) of benzodiazepines, muscle relaxants, and prescription stimulants. Using mixed-effects multivariate logistic regression, we determined factors associated with non-medical use of benzodiazepines, muscle relaxants, and prescription stimulants.

RESULTS

Among the 296 participants at enrollment, 52.0% reported taking opioid analgesics that had been prescribed, 17.9% took benzodiazepines that had been prescribed, and 8.1% took muscle relaxants that had been prescribed. Over the 2-year study interval, 53.4% reported prescription opioid misuse, 25.3% reported non-medical use of benzodiazepines, 11.5% reported non-medical use of muscle relaxants, and 6.1% reported non-medical use of prescription stimulants. In multivariable analysis, opioid analgesic misuse in the past 90 days was associated with non-medical use of benzodiazepines, muscle relaxants, and prescription stimulants during the same time interval. Illicit substance use and depression were not associated with non-medical use of these medications.

CONCLUSIONS

Prescription opioid analgesic misuse is associated with non-medical use of other psychotherapeutic medications. Health care providers should monitor for non-medical use of a broad array of psychoactive medications among high-risk populations to minimize harm.

Prescription opioid misuse and its relation to injection drug use and hepatitis C virus infection: protocol for a systematic review and meta-analysis

BACKGROUND

The production, prescription, and consumption of opioid analgesics to treat non-cancer pain have increased dramatically in the USA in the past decade. As a result, misuse of these opioids has increased; overdose and transition to riskier forms of drug use have also emerged. Research points to a trend in transition to drug injection among those misusing prescription opioids, where clusters of acute hepatitis C virus (HCV) infection are now being reported. This systematic review and meta-analysis aims to synthesize the prevalence of prescription opioid misuse in the USA and examine the rate of transition to injection drug use and incident HCV in these new people who inject drugs (PWID).

METHODS/DESIGN

Eligible studies will include quantitative, empirical data including national survey data. Scientific databases will be searched using a comprehensive search strategy; proceedings of scientific conferences, reference lists, and personal communications will also be searched. Quality ratings will be assigned to each eligible report using the Newcastle-Ottawa Scale. Pooled estimates of incidence rates and measures of association will be calculated using random effects models. Heterogeneity will be assessed at each stage of data synthesis.

DISCUSSION

A unique typology of drug use is emerging which is characterized by antecedent prescription opioid misuse among PWID. As the epidemic of prescription opioid misuse matures, this will likely serve as a persistent source of new PWID. Persons who report a recent transition to drug injection are characterized by high rates of HCV seroincidence of 40 per 100 person years or higher. Given the potential for the persistence and escalation of the consequences of prescription opioid misuse in the USA, there is a critical need for synthesis of the current state of the epidemic in order to inform future public health interventions and policy.

SYSTEMATIC REVIEW REGISTRATION

PROSPERO CRD42014008870.

Treatment outcomes for prescription drug misusers: the negative effect of geographic discordance

This is the first known study to examine geographic discordance (traveling from one's home residence to a county with a different socio-cultural context to receive substance abuse treatment) as a predictor of clinical and social functioning treatment outcomes (i.e., relapse, self-help attendance, anxiety, and incarceration) among a sample of prescription drug misusers. Treatment entry and 12-month follow-up client-level survey data were collected from 187 clients who misused prescription drugs, and center-level survey data were collected from the supervisors at treatment centers attended by the clients. Multivariate models reveal that geographic discordance significantly increased the odds that prescription drug misusers would report relapse to prescription opioid misuse, anxiety, and any incarceration at follow-up. Moreover, geographically discordant clients were significantly less likely to have attended a self-help group, net of the effect of other individual- and center-level factors. Implications for clinical practice and substance abuse treatment policy are provided.

The ecology of prescription opioid abuse in the USA: geographic variation in patients' use of multiple prescribers ("doctor shopping")

PURPOSE

This study estimates the prevalence in US counties of opioid patients who use large numbers of prescribers, the amounts of opioids they obtain, and the extent to which their prevalence is predicted by ecological attributes of counties, including general medical exposure to opioids.

METHODS

Finite mixture models were used to estimate the size of an outlier subpopulation of patients with suspiciously large numbers of prescribers (probable doctor shoppers), using a sample of 146 million opioid prescriptions dispensed during 2008. Ordinary least squares regression models of county-level shopper rates included independent variables measuring ecological attributes of counties, including rates of patients prescribed opioids, socioeconomic characteristics of the resident population, supply of physicians, and measures of healthcare service utilization.

RESULTS

The prevalence of shoppers varied widely by county, with rates ranging between 0.6 and 2.5 per 1000 residents. Shopper prevalence was strongly correlated with opioid prescribing for the general population, accounting for 30% of observed county variation in shopper prevalence, after adjusting for physician supply, emergency department visits, in-patient hospital days, poverty rates, percent of county residents living in urban areas, and racial/ethnic composition of resident populations. Approximately 30% of shoppers obtained prescriptions in multiple states.

CONCLUSIONS

The correlation between prevalence of doctor shoppers and opioid patients in a county could indicate either that easy access to legitimate medical treatment raises the risk of abuse or that drug abusers take advantage of greater opportunities in places where access is easy. Approaches to preventing excessive use of different prescribers are discussed.