Social integration in recovery living environments: A dynamic network approach.

Oxford Houses (OHs) are a large network of self-run community-based settings for individuals with substance use disorders. This present study explored a model based on conceptualizing recovery home social systems as dynamic multirelational (multiplex) social networks. The model is developed from data obtained from 42 OH recovery homes in three parts of the US, addressing whole networks of friendship, close friendship, and willingness to loan money. Findings indicated that close friend and loan relationships mutually reinforced each other over time as they coevolved. These types of insights can help community psychologists to better understand complex network dynamics in community-based settings.

Dynamic Interdependence of Advice Seeking, Loaning, and Recovery Characteristics in Recovery Homes.

Recovery homes in the US provide stable housing for over 200,000 individuals with past histories of homelessness, psychiatric co-morbidity and criminal justice involvement. We need to know more about how these settings help those remain in recovery. Our study measured advice seeking and willingness-to-loan relationships and operationalized them as a dynamic multiplex social network-multiple, simultaneous interdependent relationships--that exist within 42 Oxford House recovery homes over time. By pooling relationship dynamics across recovery houses, a Stochastic Actor-Oriented Modeling (SAOM) framework (Snijders et al., 2010) was used to estimate a set of parameters governing the evolution of the network and the recovery attributes of the nodes simultaneously. Findings indicated that advice and loan relationships and recovery-related attitudes were endogenously interdependent, and these results were affected exogenously by gender, ethnicity, and reason for leaving the recovery houses. Prior findings had indicated that higher advice seeking in recovery houses was related to higher levels of stress with more negative outcomes. However, the current study found that recovery is enhanced over time if advice was sought from residents with higher recovery scores. Our study shows that social embedding, i.e. one's position in relationship networks, affects recovery prospects. More specifically, the formation of ties with relatively more recovered residents as an important predictor of better outcomes.

Willingness to Lend Resources is Associated with Increases in Recovery and Participation in Community Activities.

Recovery homes may facilitate individuals with substance use disorders re-integration back into community settings by providing friendship, resources, and advice. Participants of the current study were over 600 residents of 42 Oxford House recovery homes. Findings indicated that willingness to share resources in the form of loans was associated with higher levels of house involvement in recovery home chapters. Active involvement in house and community affairs may influence more recovery within homes or may be an indicator of houses with residents with more capacities and skills for positive long-term health outcomes. Such findings suggest that recovery is a dynamic process with multiple ecological layers embedding individuals, their immediate social networks, and the wider community.

Context Matters: Home-level But Not Individual-Level Recovery Social Capital Predicts Residents' Relapse.

The purpose of this study is to contribute to the literature on the prediction of substance use relapse, using sophisticated systems' approaches to individuals and their contexts. In the current study of 42 recovery homes, we investigated the construct of social capital from the perspective of both recovery home residents and the house level. A confirmatory factor analysis found a latent recovery factor (including elements of recovery capital, comprising resources such as wages, self-efficacy, stress, self-esteem, quality of life, hope, sense of community, and social support) at both the individual and the recovery house level. Next, using longitudinal data from homes, an individual's probability of relapse was found to be related to house rather than individual-level latent recovery scores. In other words, an individual's probability of relapse was primarily related to the average of the "recoveries" of his or her recovery home peers, and not of his or her own personal "recovery" status. The finding that resident relapse is based primarily upon the total recovery capital available in the homes highlights the importance of the social environment for recovery.

Personal and Environmental Social Capital Predictors of Relapse Following Departure from Recovery Homes.

Substance use recovery homes represent the largest residential, community-based post-treatment option for those with substance use disorders in the United States. It is still unclear what unique factors predict relapse after residents leave such homes. This study presents results of a longitudinal study of 497 residents who departed from 42 Oxford House recovery houses. We hypothesized that the predictors of post-departure relapse would be a multi-item measure of latent recovery, length of stay, and reason for departure from the home (voluntary vs. involuntary). Predictor effects were estimated as part of a two-step model with two outcomes: (a) lack of follow-up data after departure from the house, and (b) the likelihood of relapse. Determinants of missing follow-up data included less education, less time in residence, and involuntary departure. Relapse was more likely for individuals who were younger, had involuntarily left the house, and had lower values on the latent recovery factor. The implications of these important factors related to relapse following departure from residential recovery home settings are discussed.

Recovery home networks as social capital.

Ensuring recovery home residents' social integration into a home environment is important for preventing early dropout and facilitating sustained recovery. Social capital theory may provide an explanation for how recovery homes may protect residents and improve recovery rates. However, little is known about how social capital in recovery home environments is structured and accessed. Recovery homes may increase social capital by sharing bonds through friendships, lending money, and advice-seeking. The current study describes social network cross sectional data obtained from a study of 42 Oxford House recovery homes, in three locations in the US (North Carolina, Texas, and Oregon). The residents rated each member of their house on the dimensions of friendship, money loaning, and advice seeking to assess how each resident views one another on these dimensions. The research used baseline data from a larger longitudinal study, and although some data were presented for the full sample (APL, isolates, mean reciprocity and density), the results primarily focused on case studies for three of the participating Oxford Houses-with examples of low, median, and high "connected" houses respectively. Standard measures of network structures were calculated for each home. Although all Oxford Houses follow the same house rules, they were found to vary in network structure. Findings indicated a considerable range of interconnectedness among residents in these houses, with friendship being the most common relationship, willingness to lend money less common, and advice-seeking the least common. The findings on friendship, willingness to lend, and advice-seeking provide promising leads about what occurs among the social networks within these complex eco-systems, and may provide ways to better understand and facilitate resident social integration into these settings.

Reducing health disparities among black individuals in the post-treatment environment.

An important step in reducing health disparities among racial and ethnic minorities with substance use disorders involves identifying interventions that lead to successful recovery outcomes for this population. The current study evaluated outcomes of a community-based recovery support program for those with substance use disorders. Participants included 632 residents of recovery homes in three states in the US. A multi-item recovery factor was found to increase over time for these residents. However, rates of improvement among Black individuals were higher than for other racial/ethnic groups. Black Americans perhaps place a higher value on communal relationships relative to all other racial/ethnic groups, and by adopting such a communitarian perspective, they might be even more receptive to living in a house that values participation and involvement. The implications of these findings for health disparities research are discussed.

Relational victimization and peer affiliate prosocial behaviors in African American adolescents: Moderating effects of gender and antisocial behavior.

INTRODUCTION: Experiencing relational victimization (e.g., peer exclusion, untrue rumors) during adolescence can have negative social-emotional consequences, including increased antisocial behavior and substance use. The negative impact of relational victimization may be lessened by spending time with supportive, prosocial peers. METHODS: This study examined the concurrent and predictive associations between relational victimization and peer affiliates' prosocial behaviors in 244 predominately African American adolescents (ages 13-14) living in U.S. urban neighborhoods. Questionnaires were collected every six months for two years. Overt victimization was controlled for in the analysis and the moderation of gender and antisocial behaviors were tested. RESULTS: Peer affiliates' prosocial behavior was stable across the two years. Relational victimization was not associated with peers' prosocial behavior at baseline or across time. Gender did not moderate the association between relational victimization and peers' prosocial behavior. Moderating effects were found for antisocial behavior; relational victimization was positively associated with peer affiliates' prosocial behavior but only for adolescents who were low on antisocial behavior at baseline. CONCLUSIONS: For African American youth, efforts to reduce relational aggression and increase peer support in prosocial activities prior to adolescence may be useful for preventing social-emotional problems.

A promising recovery housing model for American Indian communities.

In 2016, two Oxford House (OH) recovery homes were established for the Suquamish Tribal reservation. A group of researchers interviewed house members and key individuals responsible for the creation of these two unique OHs. Because American Indians are an at-risk population for substance use disorders, our study explored whether an OH-type recovery home model could be successfully adapted to this population, given the specific nature of tribal cultures. Findings indicated that the residents, composed of both American Indians and non-American Indians, found these OHs to be supportive of recovery in general and with the values of American Indians. The tribal community's positive attitudes toward these recovery homes may have been due to similarities between the Suquamish Tribal Government and OH's democratic structures, with all individuals having a voice in the decision making process. The overall findings suggest that these types of culturally modified recovery settings on American Indian tribal lands could be an important resource for individuals dealing with substance use disorders.

Strategic Players for Identifying Optimal Social Network Intervention Subjects.

We present a method whereby social network ties are used to identify behavioral leaders who are situated in the network such that these individuals are: 1) able to influence other individuals who are in need of and most receptive to intervention, thereby maximizing the impact of the intervention; and 2) not embedded with ties that are likely to be behaviorally antagonistic to the intervention or that would compromise the optimal evaluation of intervention efficacy. In this study we developed a novel method which we call Strategic Players, which is a solution for identifying a set of players who are close to a target subset of the network (i.e., the targeted group), and far away from the subset we wish to avoid (i.e. the avoidance group). This solution seeks to maximize the diffusion of the behavior to the targeted group while minimizing contact and influence from the avoidance group. We apply this method to two different social networks.

A Mathematical Framework for the Complex System Approach to Group Dynamics: The Case of Recovery House Social Integration.

The complex system conception of group social dynamics often involves not only changing individual characteristics, but also changing within-group relationships. Recent advances in stochastic dynamic network modeling allow these interdependencies to be modeled from data. This methodology is discussed within a context of other mathematical and statistical approaches that have been or could be applied to study the temporal evolution of relationships and behaviors within small- to medium-sized groups. An example model is presented, based on a pilot study of five Oxford House recovery homes, sober living environments for individuals following release from acute substance abuse treatment. This model demonstrates how dynamic network modeling can be applied to such systems, examines and discusses several options for pooling, and shows how results are interpreted in line with complex system concepts. Results suggest that this approach (a) is a credible modeling framework for studying group dynamics even with limited data, (b) improves upon the most common alternatives, and (c) is especially well-suited to complex system conceptions. Continuing improvements in stochastic models and associated software may finally lead to mainstream use of these techniques for the study of group dynamics, a shift already occurring in related fields of behavioral science.

Factors affecting the stability of social networks during early recovery in ex-offenders.

BACKGROUND: Few studies have considered the retention of the individuals (alters) comprising the social networks of people in recovery. OBJECTIVE: The purpose of this study was to describe factors predicting whether alters were retained 6 months after participants completed treatment. METHOD: The Important Person Inventory was given to 270 ex-offenders (224 men, 46 women) transitioning from treatment to Oxford House residences, Safe Haven therapeutic communities, or to usual aftercare. A 6-month follow-up was completed by 176 participants (137 men, 39 women). RESULTS: We found that alters who were related to the participant, did not use drugs, were embedded in smaller networks, and had more frequent contact with the participant were significantly more likely to be retained as important people over 6 months. The alters' drinking and criminal history were not significantly predictive of retention in the network. CONCLUSIONS: Certain characteristics of important people are related to their retention in a social network. Understanding these relationships and the extent to which the network change that occurs is aligned with abstinence-supporting networks is essential for creating effective social interventions for persons in recovery.

Dynamic social networks in recovery homes.

Acute treatment aftercare in the form of sober living environments-i.e., recovery houses-provide an inexpensive and effective medium-term treatment alternative for many with substance use disorders. Limited evidence suggests that house-situated social relationships and associated social support are critical determinants of how successful these residential experiences are for their members, but little is known about the mechanisms underlying these relationships. This study explored the feasibility of using dynamic social network modeling to understand house-situated longitudinal associations among individual Alcoholics Anonymous related recovery behaviors, length of residence, dyadic interpersonal trust, and dyadic confidant relationship formation processes. Trust and confidant relationships were measured 3 months apart in U.S. urban-area recovery houses, all of which were part of a network of substance use recovery homes. A stochastic actor-based model was successfully estimated from this data set. Results suggest that confidant relationships are predicted by trust, while trust is affected by recovery behaviors and length of residence. Conceptualizing recovery houses as a set of independent, evolving social networks that can be modeled jointly appears to be a promising direction for research.

Effects of strength of relationship ties in recovery homes: A conundrum.

Recovery homes are a widespread source of support for those attempting to maintain abstinence. For those who are able to remain in these settings for at least 6 months, outcomes tend to be favorable; however, many leave prematurely. There is a need to better understand the social integration processes that play a major role in giving recovery home residents access to available recovery-related social capital that is associated with better outcomes. The current study involved Oxford House recovery homes in 3 states and examined the strength of relationship ties among house members. We found that those who associated with peers who have higher recovery scores tend to improve their own recovery scores over time. However, we also found that those with higher recovery scores tended to create "strong" ties with similarly high-scoring alters; likewise lower-scoring individuals preferentially formed strong ties with each other. These findings suggest a conundrum: recovery home residents most in need of relational support from more recovered housemates are the least likely to obtain it. We discuss possible pathways to creating more ties between high and low-recovered residents.

Dynamic social network analysis of a brief alcohol intervention trial in heavy-drinking college students shows spillover effects.

BACKGROUND: Heavy-drinking college students tend to have close social networks, and there is theoretical and empirical support for the idea that behavior change can spread through those networks via close ties. The objective of this research was to determine whether intervention-induced behavior change in a subset of heavy drinkers in a sociometric (whole) college class-year social network is transmitted to other heavy drinkers in the network, resulting in reduced behavioral risk and change in network ties. METHODS: We conducted a controlled trial in which most of a first-year college class (N = 1236; 56.9% female) was enrolled, with alcohol use and social network ties measured early in each of three semesters. Following a baseline assessment, the network was divided into two groups, brief motivational intervention (BMI) and natural history control (NHC) according to dormitory residence location. A subset of heavy drinkers in each group was selected, and those in the BMI group received an in-person intervention. RESULTS: Using stochastic actor-oriented modeling, we found a significant tendency for participants in the BMI group to shed ties with individuals with similar drinking behaviors between the first and second semesters, relative to the NHC group. Furthermore, heavy drinkers with reciprocal ties to intervention recipients in the BMI group showed a significant reduction in drinks per week. CONCLUSIONS: Individual alcohol interventions appear to have effects both on behavior and network connections among individuals who did not receive the intervention. Continued research is needed to identify the optimal conditions for the diffusion of behavior change.

Preclinical and clinical evidence for suppression of alcohol intake by apremilast.

Treatment options for alcohol use disorders (AUDs) have minimally advanced since 2004, while the annual deaths and economic toll have increased alarmingly. Phosphodiesterase type 4 (PDE4) is associated with alcohol and nicotine dependence. PDE4 inhibitors were identified as a potential AUD treatment using a bioinformatics approach. We prioritized a newer PDE4 inhibitor, apremilast, as ideal for repurposing (i.e., FDA approved for psoriasis, low incidence of adverse events, excellent safety profile) and tested it using multiple animal strains and models, as well as in a human phase IIa study. We found that apremilast reduced binge-like alcohol intake and behavioral measures of alcohol motivation in mouse models of genetic risk for drinking to intoxication. Apremilast also reduced excessive alcohol drinking in models of stress-facilitated drinking and alcohol dependence. Using site-directed drug infusions and electrophysiology, we uncovered that apremilast may act to lessen drinking in mice by increasing neural activity in the nucleus accumbens, a key brain region in the regulation of alcohol intake. Importantly, apremilast (90 mg/d) reduced excessive drinking in non-treatment-seeking individuals with AUD in a double-blind, placebo-controlled study. These results demonstrate that apremilast suppresses excessive alcohol drinking across the spectrum of AUD severity.

A Longitudinal Study of E-Cigarette, Cigarette, and Marijuana Use Sequence in Youth.

Objective: There is evidence linking youth use of electronic (e-) cigarettes to subsequent cigarette and marijuana use, raising public health concerns. We examined the sequence of use of e-cigarettes, conventional cigarettes, and marijuana in a longitudinal sample of adolescents, to determine if use of e-cigarettes often preceded use of other substances. Methods: We collected self-reports from 1123 Oregon adolescents (52% female; 37% Hispanic) longitudinally from 8th to 11th grade (8 total surveys) regarding their lifetime (ever use) and current use (last 30 days) of e-cigarettes, cigarettes, and marijuana. If applicable, students also reported the delivery method of their current marijuana use. Results: Almost 10% of adolescents reported using e-cigarettes prior to use of cigarettes or marijuana, and the majority of these youth initiated use of marijuana, cigarettes, or both by 11th grade. More youth transitioned from e-cigarette use to marijuana use then from e-cigarettes to use of conventional cigarettes. Participants who were co-using e-cigarettes and marijuana in 11th grade had an increased likelihood of consuming marijuana via vaping, dabbing, and edibles, compared to those who were only using marijuana. Discussion: E-cigarettes were often the first substance used in this longitudinal sample, and more of these youth subsequently used marijuana compared to cigarettes. While research has focused on the progression from e-cigarettes to cigarettes in youth, these findings indicate that more attention should be focused on the subsequent initiation of marijuana.

Individual and Contextual Protective and Risk Characteristics for Residents of Recovery Homes.

Some recovery homes have facilitating relationships and organizational characteristics, and there are also social capital differences among residents of these recovery homes. It is important to better understand the impact of protective and risk individual and house factors on recovery issues among residents of these community-based settings. Individuals from 42 recovery homes were followed for up to six data collection periods over two years. House level latent class analyses tapped relationship and organizational domains and individual level latent class analyses were from derived from elements of recovery capital. Houses that manifested protective factors provided most residents positive outcomes, except those with elevated self-esteem. Houses that were less facilitating had more negative exits, except for those residents who were the highest functioning. Both individual and house characteristics are of importance in helping to understand risk factors associated with eviction outcomes for residents in recovery homes.

Exploring possible network properties facilitating recovery for residents of sober living homes.

Background: Recovery homes provide supportive settings for thousands of individuals with substance use disorders each year. However, not all residents of recovery homes improve in these settings, and the reasons for both improvement and lack of improvement are still unclear. It is possible that those low in recovery might benefit when they are in settings with high recovery residents. Methods: We examined social network ties among 19 recovery home settings that had pairings of low and high recovery residents. Results: We found that low recovery factor individuals generally increased their recovery factor scores over time. In the cases where recovery factor scores did not increase, the low recovery factor individuals had few social network ties with the high recovery residents. Conclusions: Both selection and influence can likely be factors that affect recovery behavior in these social settings, as residents may select friends who already exhibit similar behaviors as their own or be influenced by friends to adjust their behavior, so it is more like that of the group. A dynamic systems-based perspective can help investigators better understand how recovery-related behaviors and social relationships co-evolve, and how individual characteristics and house-level social structures can link to changes in individuals' recovery.

Advice seeking and loaning of money related to relapse in recovery homes.

Recovery homes help individuals who have completed substance use treatment programs re-integrate back into the community. However, it is unclear what factors determine who will succeed in these settings and how these factors may be reinforced or undermined by the social interactions and social networks between residents living in the Oxford House recovery homes. In an effort to better understand these factors, the current study evaluated (a) the extent to which the density of social networks (i.e., friendship, willingness to loan money, and advice-seeking relationships) is associated with social capital (i.e., sense of community, quality of life, hopefulness, self-efficacy), and (b) whether the density of social networks predicts relapse over time. Among the findings, willingness to loan money was positively associated with all four individual-level social capital variables, suggesting that availability of instrumental resources may be important to ongoing recovery. To test whether these house-level social network factors then support recovery, a survival analysis was conducted, finding associations between relapse risk and the network densities over a 28-month span. In particular, more dense advice-seeking networks were associated with higher rates of relapse, suggesting that the advice-seeking might represent a sign of organisational house problems, with many residents unsure of issues related to their recovery. In contrast, more dense loaning networks were associated with less relapse, so willingness to lend money could be measuring a willingness to help those in need. The implications of these findings are discussed.