OxyContin® as currency: OxyContin® use and increased social capital among rural Appalachian drug users

Sociometric network analysis in illicit drugs research: A scoping review

BACKGROUND

Sociometric or whole network analysis, a method used to analyze relational patterns among social actors, emphasizes the role of social structure in shaping behaviour. Such method has been applied to many aspects of illicit drug research, including in the areas of public health, epidemiology, and criminology. Previous reviews about social networks and drugs have lacked a focus on the use of sociometric network analysis for illicit drugs research across disciplines. The current scoping review aimed to provide an overview of the sociometric network analysis methods used in illicit drugs research and to assess how such methods could be used for future research.

METHODS

A systematic search of six databases (Web of Science, ProQuest Sociology Collection, Political Science Complete, PubMed, Criminal Justice Abstracts, and PsycINFO) returned 72 relevant studies that met the inclusion criteria. To be included, studies had to mention illicit drugs and use whole social network analysis as one of their methods. Studies were summarized quantitatively and qualitatively using a data-charting form and a description of the studies' main topics.

RESULTS

Sociometric network analysis in illicit drugs research has grown in popularity in the last decade, using mostly descriptive network metrics, such as degree centrality (72.2%) and density (44.4%). Studies were found to belong to three study domains. The first, drug crimes investigated network resilience and collaboration patterns in drug trafficking networks. The second domain, public health, focused on the social networks and social support of people who use drugs. Finally, the third domain focused on the collaboration networks of policy, law enforcement, and service providers.

CONCLUSION

Future illicit drugs research using whole network SNA should include more diverse data sources and samples, incorporate mixed and qualitative methods, and apply social network analysis to study drug policy.

Extent and implications of omitted ties on network measures in a longitudinal social network survey of people who use drugs

BACKGROUND

Previous research has revealed under-reporting of personal network members (i.e., alters) in studies involving people who use drugs (PWUD). This analysis (1) characterizes relationships that were more likely to be omitted but later recalled with prompting and (2) identifies network structural characteristics most impacted by these omissions among a sample of PWUD in rural Appalachian Kentucky, an epicenter of the opioid epidemic.

METHODS

Data were collected through longitudinal assessments as part of the Social Networks Among Appalachian People (SNAP) study (2008-2017). Study participants completed interviewer-administered questionnaires that collected social network data via free-listing at baseline and six-month intervals. At visit 5, after free-listing, interviewers prompted participants with the names of previously reported alters. We used modified Poisson regression with generalized estimating equations to identify individual- and relationship-level characteristics associated with an alter being reported only after prompting. We examined the impact of including vs. excluding relationships reported after prompting on local and global sociometric network measures (i.e., betweenness centrality, bridging, density, mean degree, transitivity, cliques, and 2-cores).

RESULTS

Relationships reported only after prompting were more likely to be immediate family (Adjusted Prevalence Ratio [APR]:1.29; 95% Confidence Interval [CI]: 1.03-1.63) and less likely to involve sex (APR:0.54; 95% CI: 0.43-0.67). Considerable differences were observed for participant positional rankings of betweenness centrality and bridging, and differences in network density and average degree pre- and post-prompting were statistically significant.

CONCLUSION

Longitudinal network studies that aim to assess transmission dynamics, information diffusion, or peer influence should consider the effects of omitted relationships.

Reducing opioid use disorder and overdose deaths in the United States: A dynamic modeling analysis

Opioid overdose deaths remain a major public health crisis. We used a system dynamics simulation model of the U.S. opioid-using population age 12 and older to explore the impacts of 11 strategies on the prevalence of opioid use disorder (OUD) and fatal opioid overdoses from 2022 to 2032. These strategies spanned opioid misuse and OUD prevention, buprenorphine capacity, recovery support, and overdose harm reduction. By 2032, three strategies saved the most lives: (i) reducing the risk of opioid overdose involving fentanyl use, which may be achieved through fentanyl-focused harm reduction services; (ii) increasing naloxone distribution to people who use opioids; and (iii) recovery support for people in remission, which reduced deaths by reducing OUD. Increasing buprenorphine providers' capacity to treat more people decreased fatal overdose, but only in the short term. Our analysis provides insight into the kinds of multifaceted approaches needed to save lives.

Community Health Improvement Plans: An Analysis of Approaches Used by Local Health Departments

CONTEXT

The Public Health Accreditation Board requires accredited local health departments (LHDs) to complete community health improvement plans (CHIPs). Evidence suggests that participatory planning frameworks, cross-sector collaboration, social determinants of health (SDOHs), and steering organizations are integral to effective public health planning. However, little is known about the degree to which LHDs incorporate these aspects during the CHIP process.

OBJECTIVES

To describe the use of planning methods, SDOHs, cross-sector partnerships, and steering organizations during the CHIP development process among nationally accredited LHDs and to identify whether LHD jurisdictional size or region is associated with differences in use.

DESIGN

The most recent CHIPs from 93% of all nationally accredited LHDs (n = 195) were qualitatively reviewed and numerically coded for each of the planning components to calculate frequency and degree of use. Differences in use of each component by LHDs' jurisdictional size and region were tested using the chi-square test.

MAIN OUTCOME MEASURE

Use of CHIP planning frameworks, SDOH inclusion, cross-sector partnerships, and steering organizations.

RESULTS

One-half of LHDs (53%) reported use of Mobilizing for Action through Planning and Partnerships, but nearly one-fourth of LHDs did not use any planning framework. LHDs with a large jurisdictional size (>500 000) were significantly more likely to include SDOHs to a high degree than LHDs with mid- (100 000-499 999) to small- (<99 999) jurisdictional size (P < .01). Similarly, large LHDs were more likely to include cross-sector partners except for the category community members, which were rarely (10%) included. Mid-sized LHDs were more likely to lead the CHIP steering committee (61%) than small (29%) and large (9%) LHDs (P < .01). Differences in use of the 4 components by region were less significant.

CONCLUSIONS

Jurisdictional size, rather than region, was more strongly associated with LHD approaches to CHIP development. More studies are needed to determine how differences influence CHIP implementation and impact.

A cross-sectional survey of potential factors, motivations, and barriers influencing research participation and retention among people who use drugs in the rural USA

BACKGROUND

Despite high morbidity and mortality among people who use drugs (PWUD) in rural America, most research is conducted within urban areas. Our objective was to describe influencing factors, motivations, and barriers to research participation and retention among rural PWUD.

METHODS

We recruited 255 eligible participants from community outreach and community-based, epidemiologic research cohorts from April to July 2019 to participate in a cross-sectional survey. Eligible participants reported opioid or injection drug use to get high within 30 days and resided in high-needs rural counties in Oregon, Kentucky, and Ohio. We aggregated response rankings to identify salient influences, motivations, and barriers. We estimated prevalence ratios to assess for gender, preferred drug use, and geographic differences using log-binomial models.

RESULTS

Most participants were male (55%) and preferred methamphetamine (36%) over heroin (35%). Participants reported confidentiality, amount of financial compensation, and time required as primary influential factors for research participation. Primary motivations for participation include financial compensation, free HIV/HCV testing, and contribution to research. Changed or false participant contact information and transportation are principal barriers to retention. Respondents who prefer methamphetamines over heroin reported being influenced by the purpose and use of their information (PR = 1.12; 95% CI: 1.00, 1.26). Females and Oregonians (versus Appalachians) reported knowing and wanting to help the research team as participation motivation (PR = 1.57; 95% CI: 1.09, 2.26 and PR = 2.12; 95% CI: 1.51, 2.99).

CONCLUSIONS

Beyond financial compensation, researchers should emphasize confidentiality, offer testing and linkage with care, use several contact methods, aid transportation, and accommodate demographic differences to improve research participation and retention among rural PWUD.

A qualitative examination of recent increases in methamphetamine use in a cohort of rural people who use drugs

INTRODUCTION

Rising rates of methamphetamine use among populations using opioids is an escalating public health concern. The purpose of this manuscript is to identify socioecologic factors driving increases in methamphetamine use among Appalachian Kentucky adults with a history of opioid use.

METHODS

Semi-structured qualitative interviews were conducted among 20 Appalachian Kentuckians in the Social Network of Appalachian Peoples (SNAP) cohort who reported lifetime opioid use and past 30-day methamphetamine use. Interviews focused on initiation of methamphetamine use, factors that influence methamphetamine use at the individual, interpersonal, community and society levels.

RESULTS

Participants reported using methamphetamine to self-treat underlying issues, including withdrawal from opioids, chronic pain, and emotional distress. Initiation of use was most often facilitated through their drug networks. Participants reported that methamphetamine was widely available and affordable in their community. Several participants with extensive histories of non-medical prescription opioid (NMPO) use described transitioning to methamphetamine as their drug of choice as opioids became less available in their community. Participants also reported economic distress and lack of recreational opportunities as drivers of increased methamphetamine use.

DISCUSSION

Recent increases in methamphetamine use among those with a history of opioid use is facilitated by methamphetamine's relative availability and affordability. Methamphetamine use was also highly influenced by societal factors such as economic deprivation and policies that decreased availability of NMPOs. Surging methamphetamine use exacerbates inequities in addiction care brought to light by the opioid epidemic. Interventions aimed at addressing the socioecological drivers of methamphetamine use among people who use opioids are warranted.

What Are the Correlates of Global Variations in the Prevalence of Opioid Use Disorders? An Analysis of Data From the Global Burden of Disease Study, 2019

Introduction

The recent opioid crisis in North America has brought the problem of opioid use disorders (OUD) into clinical and public health focus, with experts warning that other countries or regions may be at future risk of experiencing such crises. The existing literature suggests that a wide range of social, cultural and economic factors may be associated with the onset, course and outcome of OUD in individuals. The current study uses data on the estimated prevalence of OUDs across 115 countries, obtained from the Global Burden of Disease Study, 2019, to examine the bivariate and multivariate associations between national prevalence of OUD and these factors.

Methods

Data on the estimated prevalence of OUDs was obtained via a database query from the Global Burden of Disease (GBD) Collaborative Network database for the year 2019. Recent (2018-2019) data on 10 relevant variables identified in the literature (gross national income, economic inequality, urbanization, social capital, religious affiliation and practice, unemployment, divorce, cultural individualism, and prevalence of depression) were obtained from the GBD, World Bank and Our World in Data databases. After transformation to a normal distribution, bivariate and univariate analyses were conducted to identify the significance and strength of the associations between these variables and the prevalence of OUD.

Results

Of the 10 variables studied, all variables except the divorce rate and religious affiliation were significantly correlated with the prevalence of OUD on bivariate analyses, though the strength of these associations was in the poor to fair range. On multivariate analysis, a significant association was observed only for the prevalence of depression, with trends towards a positive association for cultural individualism and unemployment, and a protective trend observed for religious practice.

Discussion

Though subject to certain limitations inherent in cross-sectional analyses, these results suggest that certain variables may be associated with a higher prevalence of OUD at the national level. Replication and refinement of these analyses may prove useful in identifying countries or regions at risk of a future opioid epidemic or crisis, which could facilitate the institution of preventive measures or early intervention strategies.

Barriers and Motivators to Opioid Treatment Among Suburban Women Who Are Pregnant and Mothers in Caregiver Roles

Women of childbearing age who misuse opioids are a particularly vulnerable population, and their barriers to treatment are unique because of their caregiver roles. Research on treatment for opioid use generally draws from urban and rural areas. This study fills a gap in research that focuses on barriers and motivators to opioid treatment in suburban areas. The aim of this study was to give voice to suburban pregnant women and mothers caring for children while using opioids. Ethnographic methods were used for recruitment, and 58 in-depth interviews were analyzed using a modified grounded theory approach. Barriers to medication-assisted treatment (MAT) included stigma, staff attitudes, and perceptions the women had about MAT treatment. Barriers associated with all types of treatment included structural factors and access difficulties. Relationships with partners, friends, family, and providers could be barriers as well as motivators, depending on the social context of the women’s situation. Our findings suggest increasing treatment-seeking motivators for mothers and pregnant women by identifying lack of resources, more empathetic consideration of social environments, and implementing structural changes to overcome barriers. Findings provide a contemporary understanding of how suburban landscapes affect mothers’ treatment-seeking for opioid dependence and suggest the need for more focus on emotional and structural resources rather than strict surveillance of women with opioid dependence who are pregnant or caring for children.

Social network theory-an underutilized opportunity to align innovative methods with the demands of the opioid epidemic

It has been almost 3 years since the opioid epidemic was declared a national public health emergency under federal law. Solutions have focused on supply-reduction strategies. These approaches, however, have failed to significantly curtail opioid overdose and related death. Demand for opioid use arising from social networks and environment is an important contributing factor to the current opioid epidemic. Adoption of existing underused methods is needed to drive further progress. This Perspective proposes the social contagion model as a promising framework through which to operationalize evaluation of the influence of social networks and environment in the opioid epidemic and argues for its greater application. Comparing the current epidemic with previous opioid epidemics reiterates the utility of the social contagion model. This model acknowledges social network influence on individual behavior. It leverages tools from epidemiology, permits evaluation of interpersonal influence, facilitates consideration of disproportionate and collateral effects, and overcomes limitations of traditional models and geographic assumptions inherent to many approaches surrounding the current opioid epidemic. Analyzing the opioid epidemic within a social contagion framework will enhance evaluation methods and enable the design of interventions to reflect the actual demands of the current crisis. If the influence of social networks and environment is not considered, the devastating toll of the opioid epidemic could grow.

Income inequality and opioid prescribing rates: Exploring rural/urban differences in pathways via residential stability and social isolation

While opioid prescribing rates have drawn researchers' attention, little is known about the mechanisms through which income inequality affects opioid prescribing rates and even less focuses on whether there is a rural/urban difference in mediating pathways. Applying mediation analysis techniques to a unique ZIP code level dataset from several sources maintained by the Centers for Medicare and Medicaid Services, we explicitly examine two mechanisms through residential stability and social isolation by rural/urban status and find that (1) income inequality is not directly related to opioid prescribing rates, but it exerts its influence on opioid prescribing via poor residential stability and elevated social isolation; (2) social isolation accounts for two-thirds of the mediating effect of income inequality on opioid prescribing rates among urban ZIP codes, but the proportion halves among rural ZIP codes; (3) residential stability plays a larger role in understanding how income inequality matters in rural than in urban ZIP codes; and (4) beneficiary characteristics only matter in urban ZIP codes. These findings offer nuanced insight into how income inequality affects opioid prescribing rates and suggests that the determinants of opioid prescribing rates vary by rural/urban status. Future research may benefit from identifying place-specific factors for opioid prescribing rates.

Social Contact with Family and Non-Family Members Differentially Affects Physical Activity: A Parallel Latent Growth Curve Modeling Approach

Background: Social contact leads to an increased likelihood of engaging in physical activity (PA). However, the influence of social contact on PA would be different depending on the social contact source. This study aimed to identify the association of changes in social contact with family and non-family members with the change in PA using a parallel latent growth curve modeling. Methods: Participants were randomly selected from among residents in the study area age ≥ 20 years (n = 7000). We conducted mail surveys in 2014, 2016, and 2019. The 1365 participants completed all surveys. PA was assessed with validated single-item physical activity measure. Social contact was assessed by summing frequencies of face-to-face and non-face-to-face contacts with family/relatives not living with the participant and friends/neighbors. Parallel latent growth curve modeling was used to assess the cross-sectional, prospective, and parallel associations of social contact with PA change. Results: There was a positive cross-sectional association between contact with friends/neighbors and PA, whereas prospective and parallel associations between contact with family/relatives and PA. Conclusion: Contacting friends/neighbors did not predict the change in PA, and a high frequency of contact with family/relatives at baseline and increasing contact with family/relatives was associated with increased PA over 5-year.

Examining the Relationship between Social Connection and Opioid Misuse: A Systematic Review

METHODS

We used a Boolean search strategy of PubMed, PsycINFO, and Embase to identify eligible publications from January 1990 to March 2020 and narrative analysis to synthesize the evidence.

RESULTS

The database search identified 1267 independent citations; 29 publications met inclusion criteria. Nearly all the studies demonstrated high risk of bias, most often due to selection and confounding bias. Most of the studies in the review (k = 20, 69%) found at least one significant association between social connection and opioid outcomes. Although no two studies included the same measures of social connection or opioid misuse, and social connection was both positively and negatively associated with opioid misuse, results support that social connection is an important correlate of opioid misuse.

CONCLUSIONS

This review highlights the importance of social connection as a correlate to opioid misuse. However, the extensive variability among research studies points to a need for standardization of measurement and larger studies with diverse populations to allow for consequential recommendations for prevention or treatment of opioid misuse. Evidence regarding the associations between social connection and opioid misuse or disorder is sparse. We provide suggestions for advancing this research, including clarification of the complex influences between social connections and opioid misuse.

Social norms associated with nonmedical opioid use in rural communities: a systematic review

Prescription and illicit opioids were involved in over 42,000 deaths in the USA in 2016. Rural counties experience higher rates of opioid prescribing and, although opioid prescribing rates have fallen in recent years, the rate of decline is less in rural areas. The sociocultural context of rural life may impact opioid misuse in important ways; however, little research directly explores this possibility. We performed a systematic review of English-language manuscripts in U.S. context to determine what is known about social networks, norms, and stigma in relation to rural opioid misuse. Of nine articles identified and reviewed, two had only primary findings associated with social networks, norms, or stigma, five had only secondary findings, and two had both primary and secondary findings. The normalization of prescription opioid use along with environmental factors likely impacts the prevalence of opioid misuse in rural communities. Discordant findings exist regarding the extent to which social networks facilitate or protect against nonmedical opioid use. Lastly, isolation, lack of treatment options, social norms, and stigma create barriers to substance use treatment for rural residents. Although we were able to identify important themes across multiple studies, discordant findings exist and, in some cases, findings rely on single studies. The paucity of research examining the role of social networks, norms, and stigma in relation to nonmedical opioid use in rural communities is evident in this review. Scholarship aimed at exploring the relationship and impact of rurality on nonmedical opioid use is warranted.

Polysubstance Use Patterns among Justice-Involved Individuals Who Use Opioids

AIM

The current study explores pre-incarceration polysubstance use patterns among a justice-involved population who use opioids. Design: Setting: Data from prison and jail substance use programing in the state of Kentucky from 2015-2017 was examined. Participants: A cohort of 6,569 individuals who reported both pre-incarceration use of opioids and reported the use of more than one substance per day. Measurements: To determine the different typologies of polysubstance use involving opioids, latent profile analysis of the pre-incarceration thirty-day drug use of eight substances was conducted. Multinomial logistic regression predicted latent profile membership. Findings: Six unique profiles of polysubstance use involving opioids and other substances were found; Primarily Alcohol (9.4%), Primarily Heroin (19.0%), Less Polysubstance Use (34.3%), Tranquilizer Polysubstance Use (16.3%), Primarily Buprenorphine (7.8%), and Stimulant-Opioid (13.2%). Profiles differed by rural/urban geography, injection drug use, physical, and mental health symptoms. Conclusion: Findings indicate the heterogeneity of opioid use among a justice-involved population. More diverse polysubstance patterns may serve as a proxy to identifying individuals with competing physical and mental health needs. Future interventions could be tailored to polysubstance patterns during the period of justice-involvement.

Risk factors for heroin use following release from jail or prison in adults in a Central Appalachian state between 2012-2017

Background

Corrections-involved adults with a history of opioid use disorder are at elevated risk of opioid overdose following release from correctional settings. Increased opioid prescribing restrictions and monitoring during a time when heroin is becoming cheaper and ubiquitous means that adults who misused prescription opioids prior to incarceration may be reentering communities at greater risk for heroin exposure and use.

Objectives

Determine risk factors of post-release heroin use among a sample of adults who participated in corrections-based drug treatment in Kentucky released between 2012 and 2017.

Methods

Survey data obtained as part of an ongoing evaluation of corrections-based drug treatment were examined.

Results

The final sample (N = 1,563) was majority male (80.9%). Nearly 11.0% reported past-year heroin use following their release. Depressive symptoms, polydrug use, and urban proximity were more common among participants reporting post-release heroin use. Heroin use 30 days prior to incarceration was associated with a 432.1% increase in odds of heroin use subsequent to incarceration. Post-release suicidal ideation increased odds of heroin use by 154.2%, whereas reporting satisfaction from social interactions decreased odds of use by nearly 60%. Post-release use of cocaine and diverted buprenorphine were associated with increased likelihood of heroin use during this time period, increasing odds by 469.1% and 265.9%, respectively. Residing in Central Appalachia subsequent to incarceration was associated with decreased likelihood of use.

Conclusions

In this sample, post-release heroin use was associated with concerning features, such as polydrug use, lack of social satisfaction, and suicidal ideation. These features can serve as clear targets for clinical intervention.

Characterization of diverted buprenorphine use among adults entering corrections-based drug treatment in Kentucky

BACKGROUND

Illicit, medically unsupervised use of buprenorphine (i.e., "diverted use") among vulnerable and underserved populations, such as corrections-involved adults, remains underexplored.

METHODS

Survey data (2016-2017) collected as part of a clinical assessment of incarcerated adults entering corrections-based substance use treatment in Kentucky were analyzed. For years examined, 12,915 completed the survey. Removing cases for participants who did not reside in Kentucky for >6 months during the one-year pre-incarceration period (n = 908) resulted in a final sample size of 12,007.

RESULTS

Over a quarter of the sample reported past-year diverted buprenorphine use prior to incarceration and 21.8 % reported use during the 30-days prior to incarceration, using 6.5 months and 14.3 days on average, respectively. A greater proportion of participants who reported diverted buprenorphine use had previously been engaged with some substance use treatment (77.0 %) and reported greater perceived need for treatment (79.4 %) compared to those who did not report use. Use was more likely among participants who were younger, white, male, and who reported rural or Appalachian residence. Diverted buprenorphine users also evidenced extensive polydrug use and presented with greater substance use disorder severity. Non-medical prescription opioid, heroin, and diverted methadone use were associated with increased odds of diverted buprenorphine use while kratom was not. Diverted methadone use was associated with a 252.9 % increased likelihood of diverted buprenorphine use.

CONCLUSIONS

Diverted buprenorphine use among participants in this sample was associated with concerning high-risk behaviors and may indicate barriers to accessing opioid agonist therapies for corrections-involved Kentucky residents, particularly those in rural Appalachia.

The Relationships Among Social Capital, HIV Self-Management, and Substance Use in Women

Women living with HIV (WLHIV) face unique challenges to successfully self-manage HIV including substance use and limited social capital. We conducted a 6-month mixed-methods study to describe how social capital influences HIV self-management and substance use among WLHIV. Participants completed a self-report survey and in-depth interview at baseline, and 3 and 6 months. Descriptive statistics, t-tests, and generalized estimating equations (GEEs) were used to examine quantitative relationships. Qualitative data were analyzed using qualitative description. Current substance users reported lower social capital compared with past substance users (2.63 vs. 2.80; p = .34). Over time, substance use and social capital were associated with HIV self-management (Wald χ² = 28.43; p < .001). Qualitative data suggest that HIV self-management is influenced by overlapping experiences with social capital, including influential trust, community, and value of self can be complicated by ongoing substance use. Social capital can facilitate improved HIV self-management; however, substance use and trauma can weaken this relationship.

The opioid and related drug epidemics in rural Appalachia: A systematic review of populations affected, risk factors, and infectious diseases

Background/aims: To examine trends in rural Appalachian opioid and related drug epidemics during the past 10 years, including at-risk populations, substance use shifts and correlates, and associated infections. Methods: We conducted this review in accordance with the Preferred Reporting Items for Systematic Reviews (PRISMA) guidelines. Seven databases were searched for quantitative studies, published between January 2006 and December 2017, of drug use, drug-related mortality, or associated infections in rural Appalachia. Results: Drug-related deaths increased in study states, and a high incidence of polydrug toxicity was noted. Rural substance use was most common among young, white males, with low education levels. A history of depression/anxiety was common among study populations. Prescription opioids were most commonly used, often in conjunction with sedatives. Women emerged as a distinct user subpopulation, with different routes of drug use initiation and drug sources. Injection drug use was accompanied by risky injection behaviors and was associated with hepatitis C. Conclusions: This review can help to inform substance use intervention development and implementation in rural Appalachian populations. Those at highest risk are young, white males who often engage in polysubstance use and have a history of mental health issues. Differences in risk factors among other groups and characteristics of drug use in rural Appalachian populations that are conducive to human immunodeficiency virus (HIV) spread also warrant consideration.

Network-Based Research on Rural Opioid Use: an Overview of Methods and Lessons Learned

PURPOSE OF REVIEW

The purpose of this paper is to provide a thorough overview of methods used for recruitment, network data collection, and network data management in a network-based study of rural people who use drugs (PWUD) and to offer methodological recommendations for future research on rural drug use.

RECENT FINDINGS

The Social Networks among Appalachian People (SNAP) study recruited a cohort of 503 rural PWUD via respondent-driven sampling (RDS) and has retained more than 80% of eligible participants over 7-9 years. SNAP has yielded important methodological insights, including that (1) RDS referral was non-random and disproportionately involved kin and (2) interviewer-administered questionnaires were successful in eliciting accurate name and age information about network members. The SNAP experience suggests that RDS was a successful recruitment strategy for rural PWUD and questionnaires administered by community-based interviewers in the context of a Certificate of Confidentiality could elicit detailed data on PWUD risk networks.

Rural risk environments for hepatitis c among young adults in appalachian kentucky

BACKGROUND

Rural Kentucky is an epicenter of hepatitis C(HCV), especially among young adults who inject drugs. While the Risk Environment Framework (REF) has been used widely to study and address socio-ecological determinants of infectious disease among people who inject drugs (PWID), it has been almost exclusively applied to urban environments. Applying REF to rural environments can enhance our understanding of the drivers of HCV epidemics in these hard-hit areas, and inform the creation and implementation of harm reduction interventions in this local context.

METHODS

Participants were recruited between March and August 2017 via community-based outreach methods (e.g., cookouts, flyers) and peer referral. Individuals who met eligibility criteria (aged 18-35, recently used prescription opioids and/or heroin to get high, lived in one of the 5 target counties) participated indepth, semi-structured interviews. The interview guide was informed by the REF, and covered HCV-related risk behaviors and environmental features that shaped vulnerability to engaging in these behaviors. Interviews were transcribed and analyzed using constructivist grounded-theory methods.

RESULTS

Participants (N=19) described multiple intersecting risk environment features that shaped vulnerability to HCV transmission. Economic decline generated intergenerational poverty, dwindling employment prospects, and diminished social enrichment opportunities that collectively contributed to substance misuse and risky injection practices. Geographic isolation, lack of collective knowledge about HCV transmission risks, scarce harm reduction services, familial poverty, and fear of law enforcement interacted to increase the odds of people injecting in "trap houses" (akin to shooting galleries) or secluded areas, spaces in which they rushed to inject and shared injection equipment. Pervasive stigma was a structural barrier to adopting, expanding, and using harm reduction services.

CONCLUSION

This exploratory study identified features of rural risk environments that may contribute to significant HCV burdens in Appalachian Kentucky. Findings signal the importance of expanding proven harm reduction strategies and anti-stigma interventions tailored to rural contexts.

Non-Prescribed Buprenorphine Use Mediates the Relationship between Heroin Use and Kratom Use among a Sample of Polysubstance Users

In Asia, Mitragyna speciosa (e.g., "kratom") has been used to mitigate alcohol and drug dependence. Some preliminary findings suggest kratom's potential use as an informal harm-reduction method in the United States, such as an opioid substitute or as a means of lessening opioid withdrawal symptoms. To determine correlates of past-year kratom use among a sample of polysubstance users enrolled in residential recovery programs in Kentucky, an anonymous survey was completed by clients in April 2017. Logistic regression was used to identify significant associations with past-year kratom use. Of the final sample (N = 478), 10.4% reported past-year kratom use. Past-year heroin use, but not past-year prescription opioid (e.g., oxycodone, hydrocodone) use, was significantly associated with kratom use, such that individuals who reported past-year heroin use were 2.5 times more likely to also report past-year kratom use. Non-prescribed buprenorphine (i.e., Suboxone) use partially mediated the relationship between past-year heroin and kratom use by explaining 36% of the association between the two drugs. Though amphetamines were highly preferred, past-year use was negatively correlated with past-year kratom use. Rates of past-year kratom use were lower than rates of alcohol and illicit drug use. Kratom was not preferred over heroin or prescription opioids.

Synthetic Cathinone Use Among Polysubstance Users: Indirect Indicator of Indiscriminate Drug Taking or Preferred Drug of Abuse?

A survey pertaining to synthetic cathinone (SC) use was completed by 499 polysubstance users enrolled in a residential recovery program in the Southeastern United States. Of the final sample, 28% reported ever SC use. SC-users, compared with nonusers, were more often younger (32.7 vs. 36.0, p = .001), White (93.4% vs. 80.8%, p = .001), and on probation/parole since 2010 (80.9% vs. 70.9%, p = .032). SC-users evidenced extensive drug histories and were less likely to be enrolled in an urban-based program, compared to a rural, Appalachian-based program (73.8% vs. 86.6%, p = .001). Use of synthetic cannabinoids (adjusted odds ratio [AOR] = 1.9, p = .044), kratom (AOR = 1.7, p = .045), and inhalants (AOR = 2.3, p = .001) were significantly associated with SC use. Approximately 23% of SC-users preferred SCs to amphetamines or cocaine; however, only 3.6% ranked SC as their most preferred drug. Past-year SC use declined to 6.6%. Among polysubstance users in this sample, SC use may be a potential indicator of versatile and indiscriminate drug-taking.

Social Networks of Substance-Using Populations: Key Issues and Promising New Approaches for HIV

PURPOSE OF REVIEW

This paper presents recent literature on substance using networks and HIV, highlighting renewed and emerging themes in the field. The goal is to draw attention to research that holds considerable promise for advancing our understanding of the role of networks in shaping behaviors, while also providing critical information for the development of interventions, programs, and policies to reduce HIV and other drug-related harms.

RECENT FINDINGS

Recent research advances our understanding of networks and HIV, including among understudied populations, and provides new insight into how risk environments shape the networks and health of substance-using populations. In particular, the integration of network approaches with molecular epidemiology, research on space and place, and intervention methods provides exciting new avenues of investigation. Continued advances in network research are critical to supporting the health and rights of substance-using populations and ensuring the development of high-impact HIV programs and policies.

Using Network and Spatial Data to Better Target Overdose Prevention Strategies in Rural Appalachia

This analysis uses network and spatial data to identify optimal individuals to target with overdose prevention interventions in rural Appalachia. Five hundred and three rural persons who use drugs were recruited to participate in the Social Networks among Appalachian People Study (2008-2010). Interviewer-administered surveys collected information on demographic characteristics, risk behaviors (including overdose history), network members, and residential addresses. We restricted the sample to individuals with at least one confirmed relationship to another study participant (N = 463). Using dyadic analyses (N = 1428 relationships), we identified relationship-level correlates of relationships with network members who have previously overdosed. We then examined individual- and network-level factors associated with (1) having at least one first-degree alter (i.e., network member) with a prior overdose and (2) each additional network member with a prior overdose (N = 463 study participants). Overall, 28% of the sample had previously overdosed and 57% were one-degree away from someone who previously overdosed. Relationships with those who had overdosed were characterized by closer residential proximity. Those with at least one network member who previously overdosed were more geographically central and occupied more central network positions. Further, the number of network members with an overdose history increased with decreasing distance to the town center, increasing network centrality, and prior enrollment in an alcohol detox program. Because fatal overdoses can be prevented through bystander intervention, these findings suggest that strategies that target more central individuals (both geographically and based on their network positions) and those who have previously enrolled in alcohol detox programs with overdose prevention training and naloxone may optimize intervention reach and have the potential to curb overdose fatalities in this region.

Identifying the social capital influencing diabetes control in Japan

The number of patients with diabetes is increasing in Japan. Recently, Social capital (SC) has received increasing attention as a factor influencing health conditions. In the US, the relation between SC and diabetes control has been reported, but little attention has been paid to this connection in Japan. Three SC questionnaires, entitled "trust in people in a community," "social support," and "social relationships," were constructed. The subjects were adult patients with type 2 diabetes. Information on diabetic conditions, such as HbA1c, self-attainment of diet (SAD) and exercise (SAE), and complications were collected. The reliability coefficients for the SC questionnaire and factor analysis of SC were conducted. Multiple and logistic regressions were used to identify the influence of SC on diabetes control. Sixty-five patients participated in this study. The questionnaires "social support" and "social relationships" were adopted to measure Cronbach alpha coefficient. Factor analysis extracted the factors "hope to be helped (HH)," "participation in favorite events (PFE)," "sense of belonging (SB)," and "social movement (SM)." HbA1c was positively correlated with HH (P < 0.05). SAD and SAE were negatively correlated with HH (P < 0.05). SAE was positively correlated with PFE (P < 0.05). PFE reduced complication risks (P < 0.05). HH includes amae, which negatively affected self-efficacy that correlates with diabetes control. Therefore, higher HH might cause higher levels of HbA1c. PFE reduces distress and contributes to glucose control. Reduced distress through PFE might prevent complications. HH and PFE were identified as SC that influences diabetes control.

Clinician identified barriers to treatment for individuals in Appalachia with opioid use disorder following release from prison: a social ecological approach

BACKGROUND

The non-medical use of opioids has reached epidemic levels nationwide, and rural areas have been particularly affected by increasing rates of overdose mortality as well as increases in the prison population. Individuals with opioid use disorder (OUD) are at increased risk for relapse and overdose upon reentry to the community due to decreased tolerance during incarceration. It is crucial to identify barriers to substance use disorder treatment post-release from prison because treatment can be particularly difficult to access in resource-limited rural Appalachia.

METHODS

A social ecological framework was utilized to examine barriers to community-based substance use treatment among individuals with OUD in Appalachian Kentucky following release from prison. Semi-structured qualitative interviews with 15 social service clinicians (SSCs) employed by the Department of Corrections were conducted to identify barriers at the individual, interpersonal, organizational/institutional level, community, and systems levels. Two independent coders conducted line-by-line coding to identify key themes.

RESULTS

Treatment barriers were identified across the social ecological spectrum. At the individual-level, SSCs highlighted high-risk drug use and a lack of motivation. At the interpersonal level, homogenous social networks (i.e., homophilious drug-using networks) and networks with limited treatment knowledge inhibited treatment. SSC's high case load and probation/parole officer's limited understanding of treatment were organizational/institutional barriers. Easy access to opioids, few treatment resources, and a lack of community support for treatment were barriers at the community level. SSC's noted system-level barriers such as lack of transportation options, cost, and uncertainty about the implementation of the Affordable Care Act.

CONCLUSIONS

More rural infrastructure resources as well as additional education for family networks, corrections staff, and the community at large in Appalachia are needed to address barriers to OUD treatment. Future research should examine barriers from the perspective of other key stakeholders (e.g., clients, families of clients) and test interventions to increase access to OUD treatment.

Poly-product drug use disparities in adolescents of lower socioeconomic status: Emerging trends in nicotine products, marijuana products, and prescription drugs

Greater diversification of nicotine products, marijuana products, and prescription drugs have contributed to increasing trends in adolescent poly-product use-concurrent use of 2 or more drugs-within these drug classes (e.g., nicotine use via e-cigarettes, hookah, cigars). Extant work suggests that poly-product drug use disparities may be disproportionately heightened among youth from lower socioeconomic status (SES) backgrounds, however, it is unknown whether indicators of objective SES or subjective SES differentially increase risk of poly-product use including these newly emerging drugs. This study examined associations of parental education and subjective social status (SSS: perceptions of social standing compared to society [societal SSS] or school [school SSS]) with poly-product use of nicotine products, marijuana products, and prescription drugs among adolescents (N = 2218). Lower parental education and school SSS were associated with increased odds of past or current single, dual, or multiple product use of nicotine, marijuana, and prescription drugs. Findings suggest that risk for poly-product use of emerging drugs are higher for adolescents who endorse lower perceived social standing relative to peers at school and who were from a lower parental SES background.

Implementing Treatment of Opioid-Use Disorder in Rural Settings: a Focus on HIV and Hepatitis C Prevention and Treatment

PURPOSE OF REVIEW

To describe the epidemiology of opioid-use disorder in the rural United States (U.S.) as it pertains to HIV and hepatitis C transmission and treatment resources.

RECENT FINDINGS

Heroin and fentanyl analogs have surpassed prescription opioids in their availability in rural opioid markets adding to HIV and hepatitis C (HCV) and overdose risks. Only 18% of rural individuals live in towns with inpatient services which are of limited quality and utility. Opioid treatment programs that provide methadone are not located in rural areas and only 3% of the primary care providers have the ability to prescribe buprenorphine. National models and resources have been established but lack implementation in rural areas leading to ongoing HIV and HCV transmission and overdose. Addressing the adverse impact of opioids in the rural U.S. will require a concerted effort to implement effective treatments according to national standards.

Rural and Urban Differences in Nebraskans’ Access to Marijuana, Methamphetamine, Heroin, and Prescription Pills

The ability of a user to access a given type of drug is related to the configuration of the market for that drug, and a range of economic and criminal justice concerns. This study focuses on Nebraskan’s “ready access” to four types of drugs (marijuana, methamphetamine, heroin, and prescription pills) in 2016, using a statewide survey of housed Nebraskan adults. Ready access is defined as a participant knowing at least one person from whom they could obtain a given type of drug if they wanted to. We found that 35% of adult Nebraskans knew at least one person from whom they could obtain marijuana, 8.9% for methamphetamine, 4.5% for heroin, and 17.8% knew at least one source for prescription pills. Relationships between knowing a source for each type of drug and rurality, sex, race, religious attendance, mental health symptoms, and education are explored.

Opioid Abuse as Maladaptive Coping to Life Stressors in U.S. Adults

The Threat Appraisal and Coping Theory suggests that when individuals face life stressors, especially if they have poor self-esteem, they may rely on maladaptive coping behaviors that ease distress but worsen their condition over time. The present study compared five life stressors (health, money, work, family, romance) for their association with opioid use, then examined poor self-esteem as a mediator of these associations. Study participants included 1,047 U.S. adults gathered in a quota sample by SurveyMonkey (54.3% women; 53.3% 45+ years of age; 76.7% White; 60.2% with US$50,000 or higher income; 11.1% using opioids). Participants completed online surveys to report demographics, five life stressors, self-esteem, and indications of opioid use as measured with the PROMIS Questionnaire. Pearson correlation found poor self-esteem associated with high opioid use; multiple regression found health, family, and romance stressors associated with high opioid use ( R2 = .089); and multiple regression found health, money, family, and romance stressors associated with poor self-esteem ( R2 = .283). Then, bootstrapping mediational analyses examined the sequence of HIGH LIFE STRESSORS → POOR SELF-ESTEEM → HIGH OPIOID USE, finding that poor self-esteem was a significant mediator between each life stressor (health, money, family, romance) and increased risk for opioid use. The present sample included mostly individuals with a White ethnic identity and high incomes, so future research should examine these patterns with more diverse samples. In addition, the amount of opioids consumed, present motivations for use, the sequence of events leading to present use, exposure to substance-abuse treatment, and where individuals presently are on the use-recovery process could moderate associations found between life stressors and opioid use.

A scoping review of opioid misuse in the rural United States

INTRODUCTION

This study is a scoping review of the original research literature onthe misuse of opioids in the rural United States (US) and maps theliterature of interest to address the question: What does theoriginal research evidence reveal about the misuse of opioids inrural US communities?

METHODS

This study used a modified preferred reporting items for systematicreviews and meta-analyses (PRISMA) approach which is organized byfive distinct elements or steps: beginning with a clearly formulatedquestion, using the question to develop clear inclusion criteria toidentify relevant studies, using an approach to appraise the studiesor a subset of the studies, summarizing the evidence using anexplicit methodology, and interpreting the findings of the review.

RESULTS

The initial search yielded 119 peer reviewed articles and aftercoding, 41 papers met the inclusion criteria. Researcher generatedsurveys constituted the most frequent source of data. Most studieshad a significant quantitative dimension to them. All the studieswere observational or cross-sectional by design.

CONCLUSIONS

This analysis found an emerging research literature that hasgenerated evidence supporting the claim that rural US residents andcommunities suffer a disproportionate burden from the misuseof opioidscompared to their urban or metropolitan counterparts.

A rural/urban comparison of privacy and confidentiality concerns associated with providing sensitive location information in epidemiologic research involving persons who use drugs

BACKGROUND

Analyses that link contextual factors with individual-level data can improve our understanding of the "risk environment"; however, the accuracy of information provided by participants about locations where illegal/stigmatized behaviors occur may be influenced by privacy/confidentiality concerns that may vary by setting and/or data collection approach.

METHODS

We recruited thirty-five persons who use drugs from a rural Appalachian town and a Mid-Atlantic city to participate in in-depth interviews. Through thematic analyses, we identified and compared privacy/confidentiality concerns associated with two survey methods that (1) collect self-reported addresses/cross-streets and (2) use an interactive web-based map to find/confirm locations in rural and urban settings.

RESULTS

Concerns differed more by setting than between methods. For example, (1) rural participants valued interviewer rapport and protections provided by the Certificate of Confidentiality more; (2) locations considered to be sensitive differed in rural (i.e., others' homes) and urban (i.e., where drugs were used) settings; and (3) urban participants were more likely to view providing cross-streets as an acceptable alternative to providing exact addresses for sensitive locations and to prefer the web-based map approach.

CONCLUSION

Rural-urban differences in privacy/confidentiality concerns reflect contextual differences (i.e., where drugs are used/purchased, population density, and prior drug-related arrests). Strategies to alleviate concerns include: (1) obtain a Certificate of Confidentiality, (2) collect geographic data at the scale necessary for proposed analyses, and (3) permit participants to provide intersections/landmarks in close proximity to actual locations rather than exact addresses or to skip questions where providing an intersection/landmark would not obfuscate the actual address.

Needle acquisition patterns, network risk and social capital among rural PWID in Puerto Rico

BACKGROUND

People who inject drugs (PWID) take on significant risks of contracting blood-borne infection, including injecting with a large number of partners and acquiring needles from unsafe sources. When combined, risk of infection can be magnified.

METHODS

Using a sample of PWID in rural Puerto Rico, we model the relationship between a subject's number of injection partners and the likelihood of having used an unsafe source of injection syringes. Data collection with 315 current injectors identified six sources of needles.

RESULTS

Of the six possible sources, only acquisition from a seller (paid or free), or using syringes found on the street, was significantly related to number of partners.

CONCLUSIONS

These results suggest that sources of syringes do serve to multiply risk of infection caused by multi-partner injection concurrency. They also suggest that prior research on distinct forms of social capital among PWID may need to be rethought.

Examining the Social Context of Injection Drug Use: Social Proximity to Persons Who Inject Drugs Versus Geographic Proximity to Persons Who Inject Drugs

In this analysis, we used social network and spatial data to examine associations between people's drug injection status and their social and/or spatial proximity to others who injected drugs. We recruited 503 rural Kentucky residents who used drugs to participate in the Social Networks among Appalachian People (SNAP) Study (2008-2010). Interviewer-administered surveys collected information on recent (past 6 months) sex, drug-use, and social-support network members (n = 897 ties). Using network simulations, we determined a threshold for the association between social proximity to others who injected drugs and recent injection status ("socially proximal" was defined by a shortest path ≤2). We defined "geographically proximal" as the median road-network distance between pairs of individuals who both injected drugs (≤7 miles (≤11.2 km)). Logistic regression was used to determine the independent and joint associations between the number of socially and/or geographically proximal injecting peers and a person's injection status. After adjustment, the odds of recent injection increased by 0.4% for each injecting peer who was geographically proximal but not socially proximal, 12% for each geographically and socially proximal injecting peer, and 22% for each injecting peer who was socially proximal but not geographically proximal. When implementing network-based interventions which promote cessation of injection drug use, investigators should consider collecting sociometric network data to examine whether the intervention diffuses through the network and whether there are additive or threshold effects.

The Contribution of Drug Overdose to Educational Gradients in Life Expectancy in the United States, 1992-2011

Since the mid-1990s, the United States has witnessed a dramatic rise in drug overdose mortality. Educational gradients in life expectancy widened over the same period, and drug overdose likely plays a role in this widening, particularly for non-Hispanic whites. The contemporary drug epidemic is distinctive in terms of its scope, the nature of the substances involved, and its geographic patterning, which influence how it impacts different education groups. I use vital statistics and National Health Interview Survey data to examine the contribution of drug overdose to educational gradients in life expectancy from 1992-2011. I find that over this period, years of life lost due to drug overdose increased for all education groups and for both males and females. The contribution of drug overdose to educational gradients in life expectancy has increased over time and is greater for non-Hispanic whites than for the population as a whole. Drug overdose accounts for a sizable proportion of the increases in educational gradients in life expectancy, particularly at the prime adult ages (ages 30-60), where it accounts for 25 % to 100 % of the widening in educational gradients between 1992 and 2011. Drug overdose mortality has increased more rapidly for females than for males, leading to a gender convergence. These findings shed light on the processes driving recent changes in educational gradients in life expectancy and suggest that effective measures to address the drug overdose epidemic should take into account its differential burden across education groups.

The effects of rurality on substance use disorder diagnosis: A multiple-groups latent class analysis

BACKGROUND

Rates of accidental overdose mortality from substance use disorder (SUD) have risen dramatically in the United States since 1990. Between 1999 and 2004 alone rates increased 62% nationwide, with rural overdose mortality increasing at a rate 3 times that seen in urban populations. Cultural differences between rural and urban populations (e.g., educational attainment, unemployment rates, social characteristics, etc.) affect the nature of SUD, leading to disparate risk of overdose across these communities.

METHODS

Multiple-groups latent class analysis with covariates was applied to data from the 2011 and 2012 National Survey on Drug Use and Health (n=12.140) to examine potential differences in latent classifications of SUD between rural and urban adult (aged 18years and older) populations. Nine drug categories were used to identify latent classes of SUD defined by probability of diagnosis within these categories. Once the class structures were established for rural and urban samples, posterior membership probabilities were entered into a multinomial regression analysis of socio-demographic predictors' association with the likelihood of SUD latent class membership.

RESULTS

Latent class structures differed across the sub-groups, with the rural sample fitting a 3-class structure (Bootstrap Likelihood Ratio Test P value=0.03) and the urban fitting a 6-class model (Bootstrap Likelihood Ratio Test P value<0.0001). Overall the rural class structure exhibited less diversity in class structure and lower prevalence of SUD in multiple drug categories (e.g. cocaine, hallucinogens, and stimulants).

CONCLUSIONS

This result supports the hypothesis that different underlying elements exist in the two populations that affect SUD patterns, and thus can inform the development of surveillance instruments, clinical services, and prevention programming tailored to specific communities.

Substance Use in Rural Central Appalachia: Current Status and Treatment Considerations

The burden of substance use and especially the unmatched rates of overdoses in rural Central Appalachia highlight the need for innovative approaches to curb the initiation to drug misuse and to address current substance use disorders. Effective substance use interventions involve a thorough understanding of the region. In Central Appalachia, many of the barriers to treatment are shared with other rural and impoverished areas, including a lack of access to health care and lack of health care providers with specialized training. Parts of Appalachia also present their own considerations, including the challenges of fostering trust and encouraging treatment-seeking in communities with dense, long-term, place-based social and family networks. Current policies and interventions for substance use have been largely inadequate in the region, as evidenced by continued increases in substance use and substance-related deaths, especially related to nonmedical prescription drug use and increasing heroin use. The authors discuss ways in which rural life, poverty, identity, and values in Appalachia have influenced substance use and treatment and propose strategies and interventions to improve outcomes.

Accuracy of name and age data provided about network members in a social network study of people who use drugs: implications for constructing sociometric networks

PURPOSE

Network analysis has become increasingly popular in epidemiologic research, but the accuracy of data key to constructing risk networks is largely unknown. Using network data from people who use drugs (PWUDs), the study examined how accurately PWUD reported their network members' (i.e., alters') names and ages.

METHODS

Data were collected from 2008 to 2010 from 503 PWUD residing in rural Appalachia. Network ties (n = 897) involved recent (past 6 months) sex, drug cousage, and/or social support. Participants provided alters' names, ages, and relationship-level characteristics; these data were cross-referenced to that of other participants to identify participant-participant relationships and to determine the accuracy of reported ages (years) and names (binary).

RESULTS

Participants gave alters' exact names and ages within two years in 75% and 79% of relationships, respectively. Accurate name was more common in relationships that were reciprocally reported and those involving social support and male alters. Age was more accurate in reciprocal ties and those characterized by kinship, sexual partnership, recruitment referral, and financial support, and less accurate for ties with older alters.

CONCLUSIONS

Most participants reported alters' characteristics accurately, and name accuracy was not significantly different in relationships involving drug-related and/or sexual behavior compared to those not involving these behaviors.

Associations Between Religiosity, Perceived Social Support, and Stimulant Use in an Untreated Rural Sample in the U.S.A

BACKGROUND

Religiosity and perceived social support (SS) may serve as protective factors for more severe substance use in adults.

OBJECTIVES

This study sought to examine whether aspects of religiosity and SS are associated with longitudinal reductions in stimulant use over three years in an untreated sample of rural drug users.

METHODS

Respondent-driven sampling was used to recruit stimulant users (N = 710) from Arkansas, Kentucky, and Ohio. Follow-up interviews were conducted at 6-month intervals for 36 months.

RESULTS

Our bivariate findings indicate that higher religiosity was associated with lower odds and fewer days of methamphetamine and cocaine use. After controlling for covariates, higher religiosity was associated with fewer days of crack cocaine use, but more days of methamphetamine use among a small sample of users in the two final interviews. Higher SS from drug-users was also associated with higher odds and days of methamphetamine and powder cocaine use, while higher SS from nondrug users was associated with fewer days of methamphetamine use.

CONCLUSIONS/IMPORTANCE

Our bivariate findings suggest that higher levels of religiosity may be helpful for some rural individuals in reducing their drug use over time. However, our multivariate findings suggest a need for further exploration of the potential effects of religiosity on longer-term drug use, especially among those who continue to use methamphetamine and/or remain untreated. Our findings also highlight the potential deleterious effect of SS from drug users on the likelihood and frequency of methamphetamine and powder cocaine use over time among untreated rural drug users.

Using Respondent-Driven Sampling to Recruit Illegal Drug Purchasers to Evaluate a Drug Market Intervention

BACKGROUND

Violent drug markets are not as prominent as they once were in the United States, but they still exist and are associated with significant crime and lower quality of life. The drug market intervention (DMI) is an innovative strategy that uses focused deterrence, community engagement, and incapacitation to reduce crime and disorder associated with these markets. Although studies show that DMI can reduce crime and overt drug activity, one perspective is prominently missing from these evaluations: those who purchase drugs.

OBJECTIVES

This study explores the use of respondent-driven sampling (RDS)-a statistical sampling method-to approximate a representative sample of drug users who purchased drugs in a targeted DMI market to gain insight into the effect of a DMI on market dynamics.

METHODS

Using RDS, we recruited individuals who reported hard drug use (crack or powder cocaine, heroin, methamphetamine, or illicit use of prescriptions opioids) in the last month to participate in a survey. The main survey asked about drug use, drug purchasing, and drug market activity before and after DMI; a secondary survey asked about network characteristics and recruitment.

CONCLUSIONS

Our sample of 212 respondents met key RDS assumptions, suggesting that the characteristics of our weighted sample approximate the characteristics of the drug user network. The weighted estimates for market purchasers are generally valid for inferences about the aggregate population of customers, but a larger sample size is needed to make stronger inferences about the effects of a DMI on drug market activity.

The Double Disparity Facing Rural Local Health Departments

Residents of rural jurisdictions face significant health challenges, including some of the highest rates of risky health behaviors and worst health outcomes of any group in the country. Rural communities are served by smaller local health departments (LHDs) that are more understaffed and underfunded than their suburban and urban peers. As a result of history and current need, rural LHDs are more likely than their urban peers to be providers of direct health services, leading to relatively lower levels of population-focused activities. This review examines the double disparity faced by rural LHDs and their constituents: pervasively poorer health behaviors and outcomes and a historical lack of investment by local, state, and federal public health entities.

Personal support networks, social capital, and risk of relapse among individuals treated for substance use issues

BACKGROUND

The success of treatment for substance use issues varies with personal and social factors, including the composition and structure of the individual's personal support network. This paper describes the personal support networks and social capital of a sample of Italian adults after long-term residential therapeutic treatment for substance use issues, and analyses network correlates of post-treatment substance use (relapse).

METHODS

Using a social network analysis approach, data were obtained from structured interviews (90-120 min long) with 80 former clients of a large non-governmental therapeutic treatment agency in Italy providing voluntary residential treatments and rehabilitation services for substance use issues. Participants had concluded the program at least six months prior. Data were collected on socio-demographic variables, addiction history, current drug use status (drug-free or relapsed), and the composition and structure of personal support networks. Factors related to risk of relapse were assessed using bivariate and multivariate logistic regression models.

RESULTS

A main goal of this study was to identify differences between the support network profiles of drug free and relapsed participants. Drug free participants had larger, less dense, more heterogeneous and reciprocal support networks, and more brokerage social capital than relapsed participants. Additionally, a lower risk of relapse was associated with higher socio-economic status, being married/cohabiting, and having network members with higher socio-economic status, who have greater occupational heterogeneity, and reciprocate support.

CONCLUSIONS

Post-treatment relapse was found to be negatively associated with the socioeconomic status and occupational heterogeneity of ego's support network, reciprocity in the ties between ego and network members, and a support network in which the members are relatively loosely connected with one another (i.e., ego possesses "brokerage social capital"). These findings suggest the incorporation into therapeutic programming of interventions that address those aspects of clients' personal support networks.

Does the new formulation of OxyContin® deter misuse? A qualitative analysis

The purpose of this qualitative study is to understand changing illicit drug use patterns in rural Appalachia since a new formulation of OxyContin® was released with the goal of deterring diversion and misuse. Participants (n = 25) from a longitudinal study of rural drug users (N = 192) were approached to participate in semistructured qualitative interviews between April and June 2011. The primary finding is that the majority of participants switched from using the original formulation OxyContin to immediate-release oxycodone. We discuss the implications and limitations of these findings.