Predictors of engagement in screening for a hepatitis C virus (HCV) treatment trial in a rural Appalachian community.

An HCV treatment trial was initiated in September 2019 to address the opioid/hepatitis C virus (HCV) syndemic in rural Kentucky. The focus of the current analysis is on participation in diagnostic screening for the trial. Initial eligibility (≥18 years of age, county resident) was established by phone followed by in-person HCV viremia testing. 900 rural residents met the inclusion criteria and comprised the analytic sample. Generalized linear models were specified to estimate the relative risk of non-attendance at the in-person visit determining HCV eligibility. Approximately one-quarter (22.1%) of scheduled participants were no-shows. People who inject drugs were no more likely than people not injecting drugs to be a no-show; however, participants ≤35 years of age were significantly less likely to attend. While the median time between phone screening and scheduled in-person screening was only 2 days, each additional day increased the odds of no-show by 3% (95% confidence interval: 2%-3%). Finally, unknown HCV status predicted no-show even after adjustment for age, gender, days between screenings and injection status. We found that drug injection did not predict no-show, further justifying expanded access to HCV treatment among people who inject drugs. Those 35 years and younger were more likely to no-show, suggesting that younger individuals may require targeted strategies for increasing testing and treatment uptake. Finally, streamlining the treatment cascade may also improve outcomes, as participants in the current study were more likely to attend if there were fewer days between phone screening and scheduled in-person screening.

Kentucky Outreach Service Kiosk (KyOSK) Study protocol: a community-level, controlled quasi-experimental, type 1 hybrid effectiveness study to assess implementation, effectiveness and cost-effectiveness of a community-tailored harm reduction kiosk on HIV, HCV and overdose risk in rural Appalachia.

INTRODUCTION: Many rural communities bear a disproportionate share of drug-related harms. Innovative harm reduction service models, such as vending machines or kiosks, can expand access to services that reduce drug-related harms. However, few kiosks operate in the USA, and their implementation, impact and cost-effectiveness have not been adequately evaluated in rural settings. This paper describes the Kentucky Outreach Service Kiosk (KyOSK) Study protocol to test the effectiveness, implementation outcomes and cost-effectiveness of a community-tailored, harm reduction kiosk in reducing HIV, hepatitis C and overdose risk in rural Appalachia. METHODS AND ANALYSIS: KyOSK is a community-level, controlled quasi-experimental, non-randomised trial. KyOSK involves two cohorts of people who use drugs, one in an intervention county (n=425) and one in a control county (n=325). People who are 18 years or older, are community-dwelling residents in the target counties and have used drugs to get high in the past 6 months are eligible. The trial compares the effectiveness of a fixed-site, staffed syringe service programme (standard of care) with the standard of care supplemented with a kiosk. The kiosk will contain various harm reduction supplies accessible to participants upon valid code entry, allowing dispensing data to be linked to participant survey data. The kiosk will include a call-back feature that allows participants to select needed services and receive linkage-to-care services from a peer recovery coach. The cohorts complete follow-up surveys every 6 months for 36 months (three preceding kiosk implementation and four post-implementation). The study will test the effectiveness of the kiosk on reducing risk behaviours associated with overdose, HIV and hepatitis C, as well as implementation outcomes and cost-effectiveness. ETHICS AND DISSEMINATION: The University of Kentucky Institutional Review Board approved the protocol. Results will be disseminated in academic conferences and peer-reviewed journals, online and print media, and community meetings. TRIAL REGISTRATION NUMBER: NCT05657106.

Assessing Motivations for Nonprescribed Buprenorphine Use Among Rural Appalachian Substance Users.

OBJECTIVE: Buprenorphine (Suboxone) is an effective treatment for opioid use disorder (OUD). However, there have been widespread reports of diversion and misuse. This study examined motivations for nonprescribed buprenorphine use among rural residents. METHODS: Eligible participants (N = 200) were at least 18 years old, had used any illegal or prescription drugs to get high, and had ever used nonprescribed buprenorphine. A questionnaire administered by a trained interviewer assessed demographic characteristics, substance use, and motivations for use. RESULTS: Primary motivations for first nonprescribed buprenorphine use included avoiding withdrawal and getting high, while at most recent nonprescribed use, motivations shifted toward maintaining abstinence from other drugs. In adjusted logistic regression analyses, past month use of stimulants decreased odds of nonprescribed buprenorphine use for the purposes of self-treatment by 68% (adjusted odds ratio, 0.26; 95% confidence interval, 0.11-0.61), whereas history of treatment for OUD more than doubled odds of use for self-treatment (adjusted odds ratio, 2.71; 95% confidence interval, 1.11-6.63). CONCLUSIONS: Results indicate that many individuals used buprenorphine without a prescription, motivated largely by behaviors consistent with self-treatment, and diversion of buprenorphine may be driven by these motivations more than desire to get high. While many participants attempted to access treatment, many were still using nonprescribed buprenorphine for self-treatment, and many were dissatisfied with care they had received as part of a treatment program. Thus, increasing quantity of providers may not be adequate to address the opioid epidemic, but particular attention should be paid to providing care targeted to the needs of those with OUD in rural areas.

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.

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.

Using conjoint analysis to study health policy changes: An example from a cohort of persons who use drugs.

BACKGROUND: Historically, persons who use drugs (PWUDs) in the United States have often lacked health insurance, as Medicaid did not cover low-income adults. The Affordable Care Act of 2010 (ACA) increased access to insurance in states, such as Kentucky, that expanded their Medicaid programs. A cohort study of PWUDs in Kentucky found the prevalence of being insured increased from 34% pre-ACA to 87% post-ACA. However, changes to Medicaid were proposed that intended to restrict access to this program. This manuscript describes the feasibility and utility of conjoint analysis, an innovative method for studying decision-making, to identify potential impacts of health policy changes on PWUDs. METHODS: IBM SPSS's "orthogonal design" command was used to construct 12 policy profiles that presented varying combinations of the proposed policy changes to Kentucky's Medicaid plan. Each policy profile presented information on (1) monthly premium costs, (2) penalties for not paying monthly premiums, (3) weekly work requirements, and (4) if their preferred physician accepted the plan for payment. Readability of the policy profiles was analyzed using the Readable.io application. The policy profiles were included in a recent follow-up of a longitudinal cohort of PWUDs in Appalachian Kentucky (n = 355). Participants rated the likelihood of enrolling in each policy profile's Medicaid plan, using a scale ranging from 0=not at all likely to 10=extremely likely. Data were analyzed using SPSS's conjoint analysis commands. RESULTS: Readability results indicated the policy profiles required a 3rd grade education. Nearly all participants responded to each of the 12 policy profiles. Across the policy profiles, the mean response for willingness to enroll was 3.43 (SD = 3.61), indicating relatively low willingness to enroll. Conjoint analysis revealed the two most influential factors on willingness to enroll were work requirements (importance score, IS = 77.63) and monthly premium costs (IS = 17.76). Penalties for nonpayment (IS = 0.43) and physician acceptance (IS = 4.13) had minimal influence. CONCLUSIONS: This research demonstrates the feasibility of using conjoint analysis to study the impacts of potential policy changes on PWUDs.

Prevalence of Hepatitis C Virus Infection Identified From Nontargeted Screening Among Adult Visitors in an Academic Appalachian Regional Emergency Department.

BACKGROUND: We describe the initial results of an adult academic emergency department (ED) nontargeted hepatitis C virus (HCV) screening program serving Appalachia, which is disproportionately affected by the opioid epidemic. METHODS: The study was a retrospective screening study of ED systematic, nontargeted, opt-out HCV testing outcomes from July 2018 through September 2020. Eligibility requirements for "nontargeted" HCV testing included age ≥18 years, verbally able to communicate, receiving bloodwork already as part of routine clinical care, and not opting out of testing. For eligible individuals who did not opt out of testing, an HCV antibody (Ab) test was performed. Reactive Ab tests were confirmed with reflexive HCV RNA testing. The primary study outcome was the characterization of HCV Ab and RNA prevalence. RESULTS: There were 75 722 unique adult visitors during the period studied. Of these, 54 931 individuals were verbally engaged regarding testing and did not opt out. A total of 34 848 individuals received HCV Ab testing, with 3665 patients (10.5%) having reactive results. RNA confirmatory testing was reflexively performed in all Ab-positive patients, with 1601 (50.3%) positive. The majority of HCV Ab- and RNA-positive patients were young, born after 1965, and were more likely to be White, male, Medicaid insured, and report a history of injection drug use. CONCLUSIONS: ED nontargeted, opt-out testing can identify a high prevalence of HCV infection among adult visitors. HCV infection was disproportionately high among younger, White individuals, likely reflecting the escalating syndemic of opioid injection and HCV transmission in Appalachia.

Eliminating hepatitis C in a rural Appalachian county: protocol for the Kentucky Viral Hepatitis Treatment Study (KeY Treat), a phase IV, single-arm, open-label trial of sofosbuvir/velpatasvir for the treatment of hepatitis C.

OBJECTIVES: The overall goal of the Kentucky Viral Hepatitis Treatment Study (KeY Treat) is to eliminate hepatitis C transmission from a county in Appalachian Kentucky by removing the barriers to accessing hepatitis C virus (HCV) treatment. METHODS/ANALYSIS: KeY Treat is a phase IV, open-label, single-arm clinical trial of sofosbuvir/velpatasvir (SOF/VEL) for the treatment of viraemic HCV infections. Those eligible for KeY Treat are at least 18 years of age, viraemic and are residents of the target county. Pregnant women are not eligible. Rapid HCV RNA screening is used to determine eligibility, and those with a quantifiable viral load (VL) consenting to participate initiate SOF/VEL on the same day. All pharmacologic treatment and related medical care is provided free of charge using a non-specialist provider model. Follow-up visits occur at 2, 6 and 12 weeks during treatment to assess medication adherence (measured via VL and self-report), side effects and engagement in risk behaviours. Post-treatment visits occur at 12 weeks (sustained virologic response (SVR12) visit), 6 months and 12 months post-treatment completion to assess re-infection. A control county has also been identified, and prevalence and incidence of chronic HCV infections will be compared with the target community longitudinally. The primary outcome to assess elimination is SVR12. However, several outcomes will be measured to assess the effectiveness of removing the barriers to HCV treatment, including treatment entry, completion and re-infection. Analyses will be conducted via a generalised linear model framework that can incorporate flexible covariate adjustment and multiple outcome types with a compatible link function. Mathematical modelling will be completed assessing the impact and cost-effectiveness of the intervention. ETHICS AND DISSEMINATION: KeY Treat has been approved by the Institutional Review Board at the University of Kentucky. Results from KeY Treat will be presented at conferences and published in peer-reviewed journals. TRIAL REGISTRATION NUMBER: NCT03949764.

The continued rise of methamphetamine use among people who use heroin in the United States.

BACKGROUND: Methamphetamine use is a growing public health concern in the United States. Prior analyses with nationally representative data from 2015 to 2017 suggested that increases in methamphetamine use appeared largely selective to people using heroin. This analysis updated prior estimates to determine if trends are selectively persistent and how they compare to historical trends. We also evaluate sociodemographic risk factors associated with methamphetamine use among people using heroin. METHODS: Data from the 2015-2019 National Surveys on Drug Use and Health (NSDUH) were analyzed. Data from the 2006-2014 NSDUH were summarized for historical trends. Past month and past year methamphetamine use prevalence was determined within populations using heroin as well as those using other drugs (e.g., cocaine, cannabis). Multivariable logistic models accounting for complex survey design evaluated predictors of methamphetamine use among people using heroin. RESULTS: From 2015 to 2019, past month methamphetamine use increased from 9.0% to 44.0% within the population of people reporting past month heroin use. Similarly, past year methamphetamine use increased from 22.5% to 46.7% among those reporting past year heroin use. Risk factors for methamphetamine use among people using heroin included rurality, past year injection drug use, and serious mental illness. CONCLUSIONS: A rapid, selective, and sustained increase in methamphetamine use is evident among people using heroin. These findings combined with similar findings in treatment admission and overdose data emphasize the need for increased attention to a specific type of high-risk use pattern in the United States, an issue that appears increasingly unlikely to naturally resolve.

Modelling the intervention effect of opioid agonist treatment on multiple mortality outcomes in people who inject drugs: a three-setting analysis.

BACKGROUND: Opioid agonist treatment (OAT) reduces many of the harms associated with opioid dependence. We use mathematical modelling to comprehensively evaluate the overall health benefits of OAT in people who inject drugs in Perry County (KY, USA), Kyiv (Ukraine), and Tehran (Iran). METHODS: We developed a dynamic model of HIV and hepatitis C virus (HCV) transmission, incarceration, and mortality through overdose, injury, suicide, disease-related and other causes. The model was calibrated to site-specific data using Bayesian methods. We evaluated preventable drug-related deaths (deaths due to HIV, HCV, overdose, suicide, or injury) averted over 2020-40 for four scenarios, added incrementally, compared with a scenario without OAT: existing OAT coverage (setting-dependent; community 4-11%; prison 0-40%); scaling up community OAT to 40% coverage; increasing average OAT duration from 4-14 months to 2 years; and scaling up prison-based OAT. OUTCOMES: Drug-related harms contributed differentially to mortality across settings: overdose contributed 27-47% (range of median projections) of preventable drug-related deaths over 2020-40, suicide 6-17%, injury 3-17%, HIV 0-59%, and HCV 2-18%. Existing OAT coverage in Tehran (31%) could have a substantial effect, averting 13% of preventable drug-related deaths, but will have negligible effect (averting <2% of preventable drug-related deaths) in Kyiv and Perry County due to low OAT coverage (<4%). Scaling up community OAT to 40% could avert 12-24% of preventable drug-related deaths, including 13-22% of overdose deaths, with greater effect in settings with significant HIV mortality (Tehran and Kyiv). Improving OAT retention and providing prison-based OAT would have a significant additional effect, averting 27-51% of preventable drug-related deaths. INTERPRETATION: OAT can substantially reduce drug-related harms, particularly in settings with HIV epidemics in people who inject drugs. Maximising these effects requires research and investment into achieving higher coverage and provision and longer retention of OAT in prisons and the community. FUNDING: UK National Institute for Health Research, US National Institute on Drug Abuse.

Recent Increase in Methamphetamine Use in a Cohort of Rural People Who Use Drugs: Further Evidence for the Emergence of Twin Epidemics.

Appalachian Kentucky was at the epicenter of the prescription opioid epidemic in the early 2000's. As we enter the third decade of the epidemic, patterns have begun to emerge as people who use drugs (PWUD) transition from use of opioids to other drugs. The purpose of this analysis was to examine longitudinal changes in methamphetamine use in an ongoing cohort of rural people who use drugs (PWUD) in Appalachian Kentucky. All but five of the cohort participants (N = 503) reported nonmedical prescription opioid use (NMPOU) at baseline and those 498 are included in this longitudinal analysis encompassing eight waves of data (2008-2020). Past 6-month use of methamphetamine was the dependent variable. Given the correlated nature of the data, mixed effects logistic regression was utilized to examine changes in methamphetamine use over time. Significant increases in methamphetamine use were observed over the past decade in this cohort of PWUD, especially in recent years (2017-2020). Prevalence of recent use at baseline and each of the follow-up visits was as follows: 9.4, 5.6, 5.0, 5.4, 8.1, 6.8, 6.9, and 33.1%, respectively (p < 0.001). On the contrary, significant reductions in NMPO and heroin use were observed in the same time period. The odds of methamphetamine use at the most recent visit were 25.8 times greater than at baseline (95% CI: 14.9, 44.6) and 52.6% of those reporting methamphetamine use reported injecting the drug. These results provide further evidence of "twin epidemics" of methamphetamine use among NMPOU. While problematic on several fronts, of particular concern is the lack of effective treatment options for methamphetamine use disorder. As policies around the opioid epidemic continue to evolve, particular attention should be paid to the surge in stimulant use in opioid-endemic areas.

Modeling the role of incarceration in HCV transmission and prevention amongst people who inject drugs in rural Kentucky.

BACKGROUND: People who inject drugs (PWID) experience high incarceration rates, with current/recent incarceration being associated with increased hepatitis C virus (HCV) transmission. We assess the contribution of incarceration to HCV transmission amongst PWID in Perry County (PC), Kentucky, USA, and the impact of scaling-up community and in-prison opioid substitution therapy (OST), including the potential for reducing incarceration. METHODS: A dynamic model of incarceration and HCV transmission amongst PWID was calibrated in a Bayesian framework to epidemiological and incarceration data from PC, incorporating an empirically estimated 2.8-fold (95%CI: 1.36-5.77) elevated HCV acquisition risk amongst currently incarcerated or recently released (<6 months) PWID compared to other PWID. We projected the percentage of new HCV infections that would be prevented among PWID over 2020-2030 if incarceration no longer elevated HCV transmission risk, if needle and syringe programmes (NSP) and OST are scaled-up, and/or if drug use was decriminalized (incarceration/reincarceration rates are halved) with 50% of PWID that would have been imprisoned being diverted onto OST. We assume OST reduces reincarceration by 10-42%. RESULTS: Over 2020-2030, removing the effect of incarceration on HCV transmission could prevent 42.7% (95% credibility interval: 15.0-67.4%) of new HCV infections amongst PWID. Conversely, scaling-up community OST and NSP to 50% coverage could prevent 28.5% (20.0-37.4%) of new infections, with this increasing to 32.7% (24.5-41.2%) if PWID are retained on OST upon incarceration, 36.4% (27.7-44.9%) if PWID initiate OST in prison, and 45.3% (35.9-54.1%) if PWID are retained on OST upon release. decriminalization (with diversion to OST) could further increase this impact, preventing 56.8% (45.3-64.5%) of new infections. The impact of these OST interventions decreases by 2.1-28.6% if OST does not reduce incarceration. CONCLUSION: Incarceration is likely to be an important contributor to HCV transmission amongst PWID in PC. Prison-based OST could be an important intervention for reducing this risk.

Social network predictors of recent and sustained injection drug use cessation: findings from a longitudinal cohort study.

BACKGROUND AND AIMS: The US opioid crisis has led to increases in overdose fatalities and the incidence of HIV, hepatitis C and other infections. This analysis examines social network predictors of recent (self-report injection followed by non-injection) and sustained (self-report non-injection at two consecutive visits among those who previously injected) injection cessation in Appalachian Kentucky. DESIGN: Data were collected through bi-annual longitudinal assessments for Social Networks among Appalachian People (SNAP; 2008-17). Using logistic regression with generalized estimating equations that clustered on individuals, we regressed non-injection status on the number of social network members who (a) did not inject and (b) recently stopped injecting and tested for interactions between each social network exposure and prior non-injection status. Social network exposures were self-reported. SETTING: Rural eastern Kentucky, USA. PARTICIPANTS: Participants entered the analysis only after reporting recent injection and had to have had at least two consecutive study visits (n = 326). MEASUREMENTS: Interviewer-administered surveys collected individual-level socio-demographics, recent (past 6 months) drug use behaviors and the names of recent social support, sex and drug-use partners. FINDINGS: After adjusting for confounders, the number of non-injecting social network members was positively associated with recent/sustained injection cessation (adjusted odds ratio = 1.27; 95% confidence interval = 1.13-1.42) and having more social network members was associated with reduced odds of recent/sustained injection cessation. The number of previously injecting social network members who had recently stopped injecting was not statistically significantly associated with injection cessation. Neither of the interactions we tested for was statistically significant, suggesting that the relationships may be similar for those who recently stopped injecting versus had not injected for at least 1 year. CONCLUSIONS: For each additional network member who did not inject drugs, there was an increased odds of recent and sustained injection cessation among people with a history of injection drug use in Appalachian Kentucky.

Longitudinal trends in nonmedical prescription opioid use in a cohort of rural Appalachian people who use drugs.

Rural Appalachia remains an epicenter of the prescription opioid epidemic. In 2008, a cohort study was undertaken to examine longitudinal trends in nonmedical prescription opioid use (NMPOU). Eight waves of data (2008-2020) from the Social Networks among Appalachian People (SNAP) cohort were utilized for the current analysis. Only those who reported recent (past 6-month) NMPOU at baseline are included (n = 498, 99%). Mixed-effects logistic regression was used to model factors associated with NMPOU over time. Recent NMPOU declined significantly over the past decade (p < .001). However, 54.1% of participants still engaged in NMPOU at their most recent follow-up. Receipt of benefits for a physical or mental disability (adjusted odds ratio [aOR]: 3.11, 95% Confidence Interval [CI]: 1.98, 4.90) and self-described poor health status (aOR: 3.67, 95% CI: 1.61, 8.37) were both associated with NMPOU. All treatment modalities (methadone maintenance, residential, outpatient counseling) tested in the model, with the notable exception of detoxification, were associated with significantly lower odds of NMPOU. Although significant declines in prescription opioid misuse were observed in the cohort, more than half of all participants were engaged in NMPOU more than a decade after entering the study. Substance use disorder (SUD) treatment (excluding detoxification) was shown associated with reduced odds of continued NMPOU; therefore, increasing access to evidence-based treatments should be a priority in rural areas affected by the ongoing opioid epidemic.

Aromatherapy as an adjunctive therapy for neonatal abstinence syndrome: A pilot study.

OBJECTIVE: To determine if aromatherapy added to the current standard of care for opioid withdrawal syndrome decreases hospitali-zation and need for opioid replacement in neonates. DESIGN: Nonblinded, randomized control trial. SETTING: Level 4 neonatal intensive care unit (NICU). PATIENTS AND PARTICIPANTS: Thirty eight patients met inclusion criteria of greater than or equal to 36 weeks of gestation, history of in-trauterine opioid exposure, primary diagnosis of neonatal abstinence syndrome (NAS), and parental permission to participate. INTERVENTIONS: Infants were randomized to either a standard therapy group or a standard therapy plus aromatherapy. MAIN OUTCOME MEASURE(S): Duration of therapy and length of stay. RESULTS: Our pilot study showed that the use of aromatherapy in conjunction with standard therapy reduced the duration of medica-tion treatment by 41 percent and hospital length of stay in the NICU by 36 percent. CONCLUSIONS: The use of aromatherapy appears to help mitigate symptoms of NAS and offers to be a viable treatment modality when used with conventional therapy.

Privacy, Confidentiality, and Safety Considerations for Conducting Geographic Momentary Assessment Studies Among Persons Who Use Drugs and Men Who Have Sex with Men.

Geographic momentary assessments (GMA) collect real-time behavioral data in one's natural environment using a smartphone and could potentially increase the ecological validity of behavioral data. Several studies have evaluated the feasibility and acceptability of GMA among persons who use drugs (PWUD) and men who have sex with men (MSM), but fewer have discussed privacy, confidentiality, and safety concerns, particularly when illegal or stigmatized behavioral data were collected. This study explores perceptions regarding privacy, confidentiality, and safety of GMA research among PWUD and MSM recruited in three different settings (rural Appalachia, a mid-sized city in the South, and a mid-Atlantic city). Between November 2014 and April 2017, we recruited 35 PWUD from rural Appalachian Kentucky (N = 20) and Baltimore, Maryland (N = 15) and 20 MSM from Lexington, Kentucky to complete semi-structured qualitative interviews. Through thematic analyses, we identified and compared privacy, confidentiality, and safety concerns by demographic characteristics, risk behaviors, and setting. Privacy, confidentiality, and safety concerns varied by setting, age, smartphone ownership, use of illegal drugs, and history of drug-related arrests. Among those who used drugs, participants reported concerns with being tracked and burden associated with carrying and safeguarding study phones and responding to survey prompts. Privacy and confidentiality concerns were noted in each setting, but tracking concerns were greatest among Baltimore participants and led many to feel that they (or others) would be unwilling to participate or comply with study procedures. While locations considered to be sensitive varied by setting, participants in all settings said they would take measures to prevent sensitive information from being collected (i.e., intentionally disable devices, leave phones at home, alter response times). Privacy, confidentiality, and safety concerns may limit the accuracy of risk location information, study compliance, and participation. As concerns were often greatest among those engaging in illegal behaviors and with the highest risk behaviors, selection bias and non-response bias could negatively influence the representativeness and validity of study findings.

Gabapentin drug misuse signals: A pharmacovigilance assessment using the FDA adverse event reporting system.

BACKGROUND: Although there have been increasing reports of intentional gabapentin misuse, epidemiological evidence for the phenomenon is limited. The purpose of this study was to determine whether there are pharmacovigilance abuse signals for gabapentin. METHODS: Using FDA Adverse Events Reporting System reports from January 1, 2005 to December 31, 2015, we calculated pharmacovigilance signal measures (i.e., reporting odds ratio, proportional reporting ratio, information component, and empirical Bayes geometric mean) for abuse-related adverse event (AR-AE)-gabapentin pairs. Loglinear modeling assessed the frequency of concurrent reporting of abuse-related and abuse-specific AEs (AS-AEs) associated with gabapentin. Findings were compared to a positive (pregabalin) and negative (duloxetine) control. RESULTS: From 2005-2015 there were 5,951,229 unique AE reports submitted to the FDA including 99,977 for gabapentin, 73,977 for duloxetine, and 97,813 for pregabalin. Significant drug-AR-AE pair signals involving gabapentin included: drug abuser, multiple drug overdose, and substance-induced psychotic disorder. Significant drug AR-AE signals involving gabapentin and pregabalin, but not duloxetine, were: ataxia, dependence, drug abuse, increased drug tolerance, and overdose. Compared to duloxetine, gabapentin had significantly greater odds of a co-report for an AS-AE with drug withdrawal syndrome (OR: 6.55), auditory hallucinations (OR: 4.57), delusions (OR: 2.36), euphoric mood (OR: 5.45), ataxia (OR: 2.85), drug abuser (OR: 3.01), aggression (OR: 1.98), psychotic disorder (OR: 1.96), and feeling abnormal (OR: 1.31). CONCLUSIONS: We identified abuse-related signals for gabapentin and highlighted several CNS effects that may be associated with its abuse. Gabapentin prescribers should be aware of the drug's abuse liability and effects that may accompany its use.

Peer influence of injection drug use cessation among dyads in rural eastern Kentucky.

BACKGROUND: This analysis aims to assess whether injection drug use cessation among peers predicts injection drug use cessation among individuals and explores whether this association varies by relationship type and strength. METHODS: Data were collected through baseline and 6-month assessments for the Social Networks among Appalachian People study (2008-2011). Interviewer-administered surveys collected sociodemographic and drug use behaviors (past 6 months and lifetime). Participants also listed sex, drug use, and social support partners (past 6 months). Listed names were cross-referenced with survey participants to identify relationships between study participants. The analytic sample was further restricted to include only those relationship pairs where both individuals reported a history of injection drug use at baseline (n = 244 unique individuals and 746 dyads). We fit a generalized estimating equations logistic regression model to (1) assess the relationship between peer injection cessation and individual injection cessation and (2) determine whether the strength of this association differs by relationship-level variables (i.e., relationship role, relationship type, relationship duration, frequency of interaction, residential proximity). RESULTS: Overall, those with a network member who ceased injection drug use were more likely to stop injecting over the following 6-month period (AOR=1.65). The magnitude of this association was greater for social support partners (AOR=2.95), family members (AOR=3.56), those with whom the participant interacted at least daily (AOR=2.17), and those who the participant knew longer (AOR=2.09). Further, among family members, the effect size was greater when relationships were further restricted to immediate family members (AOR=5.35). CONCLUSION: Our findings suggest that in this rural community, closer, more supportive relationships, may be more influential for modeling injection cessation; however, relationship-types were not mutually exclusive so differences in effect size across strata may not be statistically significant. In this setting, social support through the recovery process (including cessation attempts with peers) may increase likelihood of injection cessation.

A nationally representative analysis of "twin epidemics": Rising rates of methamphetamine use among persons who use opioids.

BACKGROUND: Recent data suggest increases in methamphetamine potency, affordability, and availability in the US. Other data indicate rising rates of methamphetamine use among patients seeking treatment for opioid use disorder. The extent to which similar increases in methamphetamine use have occurred for populations outside of a treatment context and for those reporting other substance use is unknown. PURPOSE: The current analysis used a nationally representative data source to evaluate recent trends in past month methamphetamine use based on opioid use history. METHODS: Data from the 2015-2017 National Survey on Drug Use and Health (NSDUH) were analyzed for yearly variations in past month methamphetamine use by opioid use history. Sensitivity analyses assessed if these trends were specific to methamphetamine use and to persons reporting opioid use. RESULTS: Significant increases in past month methamphetamine use were observed for persons reporting past month heroin use, past year heroin use disorder, and past year prescription opioid use disorder. Among individuals reporting past month heroin use, for example, methamphetamine use tripled from 9.0% in 2015 to 30.2% in 2017. These associations were specific to methamphetamine with little change in other substance use. Similar increases in methamphetamine use were not observed for populations reporting other illicit substance use with the exception of prescription tranquilizers. CONCLUSIONS: These results provide data corroborating evidence of emergent concerns related to methamphetamine use in the US. Such findings highlight the importance of considering global drivers of substance use to avoid cyclic waves of new and emerging substance use crises.