Social isolation proxy variables and prescription opioid and benzodiazepine misuse among older adults in the U.S.: A cross-sectional analysis of data from the National Survey on Drug Use and Health, 2015-2017

Psychological Distress Mediates the Relationship Between HIV-Related Stigma and Prescription Opioid Misuse Among Chinese People Living with HIV

Prescription opioid misuse (POM) among people living with HIV (PLWH) is a serious concern due to risks related to dependence and overdose, and PLWH may be at higher risk for POM due to psychosocial stressors including psychological distress. However, scant POM research has examined the role of HIV-related stigma (e.g., internalized stigma, enacted stigma) in POM among PLWH. Guided by minority stress theory, this study examined a hypothesized serial mediation among enacted stigma, internalized stigma, psychological distress, and POM within a sample of Chinese PLWH with pain symptoms enrolled in a wave (between November 2017 and February 2018) of a longitudinal cohort study in Guangxi (n = 116). Models were tested individually for six enacted stigma experiences, controlling for key demographic and health-related variables (e.g., CD4 + count). Results showed HIV-related workplace discrimination was the most common stigma experience (12%,) and 10.3% of PLWH reported POM. Indirect effect analyses showed that internalized stigma was indirectly associated with POM through psychological distress. Internalized stigma and psychological distress mediated the association between workplace discrimination and POM. Family discrimination, gossip, and healthcare discrimination were directly associated with POM. This study suggests that Chinese PLWH may engage in POM to cope with psychological distress that is rooted in HIV-related stigma and highlights the important context of workplace discrimination for PLWH. Implications for interventions to reduce POM among PLWH are discussed.

The Social Context: Social and Behavioral Factors That Affect Health Outcomes

To achieve understanding and best care, screening and treating patients should consider the patient's social environment. Social and behavioral factors influence both positive and negative health behaviors that influence mental and physical health. Primary care providers continually navigate barriers faced by patients and seek solutions that take into consideration social and behavioral factors. The role of the PCP begins with an understanding of common barriers and community resources, then by assessing and responding to the patient's own challenges, and finally by advocating in the clinic and public for changes to the underlying social and structural causes of morbidity and mortality.

A Scoping Review on the Effects of COVID-19 on Syringe Service Programs in the United States

The COVID-19 pandemic has had worldwide impacts, including disrupting community services. One interrupted service was syringe service programs (SSPs), community-established initiatives that provide sterile supplies and aid in overcoming addiction in drug-using participants. In the United States (U.S.), SSPs have been key in combating the recent opioid use crisis and associated infections such as the human immunodeficiency virus (HIV) and hepatitis C. While some published reports on the pandemic's overall impacts on SSPs exist, certain aspects such as operational changes and repercussions on staff and participants may still be lacking. Information about the impact of interrupted SSP services due to the pandemic may provide insight into how to prepare to mitigate similar outcomes during possible future health outbreaks. The aim of this scoping review was thus to explore the effects of the COVID-19 pandemic on the operations, staff, and participants of SSPs in the U.S. The initial search of the databases PubMed, Embase, and Web of Science with selected keywords yielded 117 articles published in English between January 1, 2020, and August 31, 2022. After screening each article for study eligibility, 11 articles were included in the final review. Of the seven articles exploring SSP operational impacts from the pandemic, five acknowledged that mitigation strategies influenced functions, seven highlighted supply changes, and four emphasized the resulting staffing changes. Four studies inspected the pandemic's impacts on SSP participants, which included two articles highlighting participants' struggles with isolation and loneliness, one referencing the fear of exposure to the SARS-CoV-2 virus, and two examining the overall negative psychological effects experienced during this time. SSPs in various settings and regions across the U.S. experienced changes due to the COVID-19 pandemic. Many of these modifications negatively impacted operations, staffing, and participant relationships. Examining the issues that individual SSPs encountered highlights opportunities for structured solutions for the present and in the case of future infectious disease outbreaks. With the severity of the opioid use crisis in the U.S. and the dependence on SSPs for its mitigation, future work in this space should be prioritized.

Oxytocin level among patients with opioid use disorder and its correlation with personality traits and perceived childhood trauma

Background

Personality traits and perceived childhood maltreatment are of the predictors of substance use disorder development. Many studies have discussed oxytocin effect on personality traits and its relation with childhood trauma and how both affect the addictive process. The main aim was to compare oxytocin level between patients with opioid use disorder and controls and the potential association of oxytocin level with the basic dimensions of personality traits and perceived childhood adverse experiences in patients group. Forty male patients with opioid use disorder and 40 healthy controls matched in age and gender were assessed and compared regarding serum oxytocin level by ELISA, personality traits using Temperament and character inventory - revised (TCI- R) scale, and childhood adverse events using childhood trauma questionnaire.

Results

A significant difference between the patient group and the control group regarding the serum oxytocin level was found. Negative correlation with p-value <0.05 between oxytocin level and each of novelty seeking, and harm avoidance, in addition to a positive correlation between oxytocin level and each of reward dependence, self-directedness, and cooperativeness items of (TCR-R), among cases were found. Cases did not show statistically significant difference in oxytocin level between different Childhood Trauma Questionnaire (CTQ) items.

Conclusions

The interaction between serum oxytocin levels, personality traits, and childhood trauma has to be considered in management with heroin-dependent patients as it plays a crucial role.

Neighborhood characteristics and opioid use disorder among older Medicare beneficiaries: An examination of the role of the COVID-19 pandemic

This study investigates how the associations between residential characteristics and the risk of opioid user disorder (OUD) among older Medicare beneficiaries (age≥65) are altered by the COVID-19 pandemic. Applying matching techniques and multilevel modeling to the Medicare fee-for-service claims data, this study finds that county-level social isolation, concentrated disadvantage, and residential stability are significantly associated with OUD among older adults (N = 1,080,350) and that those living in counties with low levels of social isolation and residential stability experienced a heightened risk of OUD during the pandemic. The results suggest that the COVID-19 pandemic has aggravated the impacts of residential features on OUD.

Intergroup relationships with people who use drugs: A personal network approach

Positive and meaningful intergroup contact between people who use drugs and those with the potential to provide positive social interactions has been identified as an important pathway to address the burden of drug use by reducing stigmatizing views and behaviors. Traditional approaches to intergroup contact typically rely on laboratory experiments or survey vignettes to examine the consequences of variation in contact conditions and relationships. Although seldom measured, contact occurs naturally through individuals' personal social networks. Here, we apply this latter approach to examine how the characteristics of drug use and social roles are associated with positive and meaningful intergroup contact in daily life. We leverage unique data from a state representative sample of Indiana residents aged 18 or older (n = 926) that completed a personal network interview and separately reported people they know who have a drug use problem. We first identified the respondents who nominated a person who uses drugs as a member of their core personal network and then evaluated the relationship, disease, and individual characteristics that were associated with that person's inclusion in the personal network. We find that primary relationships (e.g., having a spouse or child who uses drugs) are associated with meaningful contact with people who use drugs but that intense manifestations of disease characteristics (severe or problematic, danger to self) can limit the likelihood of contact. These findings demonstrate how the nature of intergroup contact can shape the types of relationships that have been shown to help reduce stigmatizing attitudes and the behavioral barriers to recovery, such as social isolation. Thus, core networks present a valuable approach to defining the factors that likely contribute to effective intergroup contact.

Identifying Predictors of Opioid Overdose Death at a Neighborhood Level With Machine Learning

Predictors of opioid overdose death in neighborhoods are important to identify, both to understand characteristics of high-risk areas and to prioritize limited prevention and intervention resources. Machine learning methods could serve as a valuable tool for identifying neighborhood-level predictors. We examined statewide data on opioid overdose death from Rhode Island (log-transformed rates for 2016-2019) and 203 covariates from the American Community Survey for 742 US Census block groups. The analysis included a least absolute shrinkage and selection operator (LASSO) algorithm followed by variable importance rankings from a random forest algorithm. We employed double cross-validation, with 10 folds in the inner loop to train the model and 4 outer folds to assess predictive performance. The ranked variables included a range of dimensions of socioeconomic status, including education, income and wealth, residential stability, race/ethnicity, social isolation, and occupational status. The R2 value of the model on testing data was 0.17. While many predictors of overdose death were in established domains (education, income, occupation), we also identified novel domains (residential stability, racial/ethnic distribution, and social isolation). Predictive modeling with machine learning can identify new neighborhood-level predictors of overdose in the continually evolving opioid epidemic and anticipate the neighborhoods at high risk of overdose mortality.

Harmful Alcohol Use Among Healthcare Workers at the Beginning of the COVID-19 Pandemic in Kenya

BACKGROUND

Healthcare workers play a key role in responding to pandemics like the on-going COVID-19 one. Harmful alcohol use among them could result in inefficiencies in health service delivery. This is particularly concerning in sub-Saharan Africa where the health workforce is already constrained. The aim of this study is to document the burden and correlates of harmful alcohol use among healthcare workers at the beginning of the COVID-19 pandemic in Kenya with the aim of informing policy and practice.

METHODS

This study was a cross-sectional analysis of data obtained from a parent online survey that investigated the burden and factors associated with mental disorders among healthcare workers during the COVID-19 pandemic in Kenya. We analyzed data obtained from a sub-population of 887 participants who completed the Alcohol Use Disorder Identification Test questionnaire. We used descriptive statistics to summarize the socio-demographic characteristics of the participants and multivariate analysis to determine the factors associated with harmful alcohol use.

RESULTS

Three hundred and eighty nine (43.9%) participants reported harmful alcohol use. The factors significantly associated with increased odds of endorsing harmful alcohol use were: being male (AOR = 1.56; 95% CI = 1.14, 2.14; p = 0.006), being unmarried (AOR = 2.06; 95% CI = 1.48, 2.89; p < 0.001), having 11-20 years of experience as compared to having 20+ years of experience (AOR = 1.91; 95% CI = 1.18, 3.12; p = 0.009), and being a specialist (AOR = 2.78; CI = 1.64, 4.78; p = < 0.001) or doctor (AOR = 2.82; 95% CI = 1.74, 4.63; p < 0.001) as compared to being a nurse.

CONCLUSIONS

A high proportion of healthcare workers reported harmful alcohol use at the beginning of the COVID-19 pandemic in Kenya. Males, the unmarried, those with 11-20 years of experience in the health field, doctors and specialists, were more likely to report harmful alcohol use. These findings highlight the need to institute interventions for harmful alcohol use targeting these groups of healthcare workers in Kenya during the COVID-19 pandemic in order to optimize functioning of the available workforce.

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.

Policing pain: A qualitative study of non-criminal justice approaches to managing opioid overdose during the COVID-19 pandemic

Opioid related drug overdose deaths are a leading cause of death and injury in the United States. While research demonstrates that where people live has a major impact on drug use and abuse, most work looks at social dynamics at the county level or under the rubric of the urban/rural divide. Only recently, scholarship has become attuned to the post-industrialized areas located on the fringes of urban cores. Data presented in here are from field research conducted in McKeesport, Pennsylvania, a small river town located east of Pittsburgh. Once a thriving industrial city, it is now deteriorated and has documented high levels of overdose experience. Preliminary results suggest that McKeesport residents, even before the emergence of SARS-CoV-2 (COVID-19), practice social and physical distancing as a way of life; data indicate how the pandemic potentially exacerbates the risk of accidental opioid overdose among a population defined by both geographic and social isolation.

Social Isolation Profiles and Older Adult Substance Use: A Latent Profile Analysis

OBJECTIVES

The aim of this study was to determine substance use among older adults based upon their social isolation and loneliness profiles.

METHODS

Data were derived from the New Jersey Older Adult Survey on Drug Use and Health (OASDUH). Latent profile Analysis (LPA) was used to determine the profiles of older adults (N = 801) based on five dimensions of social isolation and loneliness. Logistic and generalized ordered logistic regressions were conducted to assess the relationship between the latent profiles and substance use.

RESULTS

LPA identified five social isolation/loneliness profiles. The "connected and active" group had the lowest odds of cigarette use. The "alone but not lonely" group had the highest odds of cigarette use, alcohol use, and high-risk drinking. The "alone and lonely" group had the highest odds of non-medical drug use.

DISCUSSION

In working with older adults who are using substances, it is important to inquire about their social isolation and loneliness. Cognitive behavioral therapy for the "alone and lonely" group may be beneficial, as it has been deemed effective in reducing loneliness and enhancing social network.

Deaths Of Despair: Adults At High Risk For Death By Suicide, Poisoning, Or Chronic Liver Disease In The US

Discourse on deaths of despair, which include suicide, poisoning, and chronic liver disease, has focused on middle-aged White working-class adults with less than a college education. Yet longitudinal research has not examined what groups are at highest risk for these causes of death. Respondents to the 2008 American Community Survey were followed through 2015 for mortality from suicide, poisoning, or chronic liver disease. The overall mortality rate for deaths of despair was 41.3 per 100,000 person-years. The highest-risk groups were adults with functional disabilities (102.8 per 100,000 person-years), American Indian/Alaska Native people (102.6), working-age adults who are not employed (77.3), separated or divorced people (76.5), people with net income losses (70.6), and people with military service (67.0). Most of these groups remained at increased risk after several potential confounders were controlled for. These findings offer a deeper perspective on which adults are at highest risk for deaths of despair.

The association between loneliness and medication use in older adults

BACKGROUND

Loneliness is common in older adults, and it is associated with unhealthy behaviours, including substance use. We evaluated the association between loneliness and self-reported use of opioids and benzodiazepines in older adults.

METHODS

We used data from the Canadian Community Health Survey's 'Healthy Aging' sub-survey and included adults 65 years or older who administered their own medications. We classified individuals as lonely if they scored 6 or more on the three -item University of California, Los Angeles's Loneliness Scale. We used multinomial logistic regression models, adjusting for demographics and self-reported comorbidities, to describe the association between loneliness and daily or occasional use of opioids, benzodiazepines and non-opioid analgesics. We also explored the association between loneliness and polypharmacy.

RESULTS

Our cohort included 15,302 older adults, of whom 2,096 (13.7%) were classified as lonely. Daily use of opioids (4.1%) and benzodiazepines (1.7%) were less common than daily use of non-opioid analgesics (33.9%). Lonely older adults had higher daily use of opioids (odds ratio [OR] 1.61, 1.31-1.98) and benzodiazepines (OR 1.66, 1.21-2.28), but not non-opioid analgesics (OR 1.05, 0.92-1.19). Loneliness was not associated with occasional use of opioids, benzodiazepines or non-opioid analgesics in older adults, but was associated with polypharmacy (OR 1.27, 1.06-1.52).

CONCLUSIONS

Loneliness in older adults is associated with increased daily use of opioids and benzodiazepines. Further research should evaluate patient- and physician-level factors that mediate this association, and develop strategies to mitigate loneliness and its attendant adverse outcomes.

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.

The Early Impact of Social Distancing Measures on Drug Use

Social distancing policies have been widely adopted in response to the COVID-19 pandemic. High levels of social connection are positively associated with beneficial health outcomes, while social isolation is associated with poor long-term health outcomes including reduced life expectancy. The present study evaluates the impact of social distancing measures during the early period of COVID-19 on substance use behaviors among those in the United States. Methods: We used an internet-based survey with participants (n = 157; 86 male) reporting a history of problems related to drug use. We relied on ANOVA and logistic regression techniques to assess the associations between social connection and substance use. Results: People with more severe drug use problems reported feeling more socially isolated during social distancing. Those who primarily use alcohol reported higher global feelings of social connection than those who primarily use opioids. During social distancing, participants reported an increase in alcohol and cigarette consumption, and a decrease in cocaine use. Lastly, those who reported using drugs for social reasons were less likely to have decreased substance use during social distancing. Conclusions: The current study provides evidence that social distancing guidelines have impacted both substance use behaviors and feelings of social and physical connection. Further, there are differential impacts based on drug of choice. These results advance delineation of the connection between sociality and drug use.

Prescription Drug Misuse: Taking a Lifespan Perspective

Prescription drug misuse (PDM), or medication use without a prescription or in ways not intended by the prescriber, is a notable public health concern, especially in the United States. Accumulating research has characterized PDM prevalence and processes, but age-based or lifespan changes in PDM are understudied. Given age-based differences in the medical or developmental concerns that often underlie PDM, it is likely that PDM varies by age. This review summarizes the literature on PDM across the lifespan, examining lifespan changes in prevalence, sources, motives and correlates for opioid, stimulant, and tranquilizer/sedative (or benzodiazepine) PDM. In all, prevalence rates, sources and motives vary considerably by age group, with fewer age-based differences in correlates or risk factors. PDM prevalence rates tend to decline with aging, with greater use of physician sources and greater endorsement of self-treatment motives in older groups. Recreational motives (such as to get high) tend to peak in young adulthood, with greater use of peer sources or purchases to obtain medication for PDM in younger groups. PDM co-occurs with other substance use and psychopathology, including suicidality, across age groups. The evidence for lifespan variation in PDM is strongest for opioid PDM, with a need for more research on tranquilizer/sedative and stimulant PDM. The current literature is limited by the few studies of lifespan changes in PDM within a single sample, a lack of longitudinal research, little research addressing PDM in the context of polysubstance use, and little research on minority groups, such as sexual and gender minorities.

Socioeconomic risk factors for fatal opioid overdoses in the United States: Findings from the Mortality Disparities in American Communities Study (MDAC)

BACKGROUND

Understanding relationships between individual-level demographic, socioeconomic status (SES) and U.S. opioid fatalities can inform interventions in response to this crisis.

METHODS

The Mortality Disparities in American Community Study (MDAC) links nearly 4 million 2008 American Community Survey responses to the 2008-2015 National Death Index. Univariate and multivariable models were used to estimate opioid overdose fatality hazard ratios (HR) and 95% confidence intervals (CI).

RESULTS

Opioid overdose was an overrepresented cause of death among people 10 to 59 years of age. In multivariable analysis, compared to Hispanics, Whites and American Indians/Alaska Natives had elevated risk (HR = 2.52, CI:2.21-2.88) and (HR = 1.88, CI:1.35-2.62), respectively. Compared to women, men were at-risk (HR = 1.61, CI:1.50-1.72). People who were disabled were at higher risk than those who were not (HR = 2.80, CI:2.59-3.03). Risk was higher among widowed than married (HR = 2.44, CI:2.03-2.95) and unemployed than employed individuals (HR = 2.46, CI:2.17-2.79). Compared to adults with graduate degrees, those with high school only were at-risk (HR = 2.48, CI:2.00-3.06). Citizens were more likely than noncitizens to die from this cause (HR = 4.62, CI:3.48-6.14). Compared to people who owned homes with mortgages, those who rented had higher HRs (HR = 1.36, CI:1.25-1.48). Non-rural residents had higher risk than rural residents (HR = 1.46, CI:1.34, 1.59). Compared to respective referent groups, people without health insurance (HR = 1.30, CI:1.20-1.41) and people who were incarcerated were more likely to die from opioid overdoses (HR = 2.70, CI:1.91-3.81). Compared to people living in households at least five-times above the poverty line, people who lived in poverty were more likely to die from this cause (HR = 1.36, CI:1.20-1.54). Compared to people living in West North Central states, HRs were highest among those in South Atlantic (HR = 1.29, CI:1.11, 1.50) and Mountain states (HR = 1.58, CI:1.33, 1.88).

DISCUSSION

Opioid fatality was associated with indicators of low SES. The findings may help to target prevention, treatment and rehabilitation efforts to vulnerable groups.