No abstract

Historically, addiction treatments have been delivered and evaluated under an acute-care format. Fixed amounts or durations of treatment have been provided and their effects evaluated 6-12 months after completion of care. The explicit expectation of treatment has been enduring reductions in substance use, improved personal health and social function, generally referred to as 'recovery'. In contrast, treatments for chronic illnesses such as diabetes, hypertension and asthma have been provided for indeterminate periods and their effects evaluated during the course of those treatments. Here the expectations are for most of the same results, but only during the course of continuing care and monitoring. The many similarities between addiction and mainstream chronic illnesses stand in contrast to the differences in the ways addiction is conceptualized, treated and evaluated. This paper builds upon established methods of during-treatment evaluation developed for the treatment of other chronic illnesses and suggests a parallel evaluation system for out-patient, continuing-care forms of addiction treatment. The suggested system retains traditional patient-level, behavioral outcome measures of recovery, but suggests that these outcomes should be collected and reported immediately and regularly by clinicians at the beginning of addiction treatment sessions, as a way of evaluating recovery progress and making decisions about continuing care. We refer to this paradigm as 'concurrent recovery monitoring' and discuss its potential for producing more timely, efficient, clinically relevant and accountable evaluations.

In the field of addiction treatment, the term “continuing care” has been used to indicate the stage of treatment that follows an initial episode of more intensive care. This article reviews controlled studies of continuing care conducted over the prior 20 years. The results indicate that continuing care interventions were more likely to produce positive treatment effects when they had a longer planned duration, made more active efforts to deliver treatment to patients, and were studied more recently. However, there was considerable variability in patient response and room for improvements in participation rates and effectiveness. It is possible that the effectiveness of continuing care interventions could be further improved by the use of adaptive algorithms, which adjust treatment over time on the basis of changes in patients' symptoms and status. The use of alternative service delivery methods and care settings may also lead to greater engagement and retention in continuing care, particularly among the large numbers of individuals who do not want traditional, clinic-based specialty care.

Context:Telephone-based disease management protocols have shown promise in improving outcomes in a number of medical and psychiatric disorders, but this approach to continuing care has received little study in alcohol-and drug-dependent individuals.Objective: To compare telephone-based continuing care with 2 more intensive face-to-face continuing care interventions.Design: A randomized 3-group clinical trial with a 2-year follow-up.Setting: Two outpatient substance abuse treatment programs, one community-based and the other at a Veterans Affairs medical center facility.Patients: Alcohol-and/or cocaine-dependent patients (N=359) who had completed 4-week intensive outpatient programs.Interventions: Three 12-week continuing care treatments: weekly telephone-based monitoring and brief counseling contacts combined with weekly supportive group sessions in the first 4 weeks (TEL), twice-weekly cognitive-behavioral relapse prevention (RP), and twiceweekly standard group counseling (STND). Main Outcome Measures:Percentage of days abstinent from alcohol and cocaine, total abstinence from alcohol and cocaine, negative consequences of substance use, cocaine urine toxicological results, and ␥-glutamyltransferase.Results: Participants in TEL had higher rates of total abstinence over the follow-up than those in STND (PϽ.05). In alcohol-dependent participants, 24-month ␥-glutamyltransferase levels were lower in TEL than in RP (P=.005). In cocaine-dependent participants, there was a significant groupϫ time interaction (P =.03) in which the rate of cocaine-positive urine samples increased more rapidly in RP as compared with TEL. On percentage of days abstinent or negative consequences of substance use, TEL did not differ from RP or STND. Participants with high scores on a composite risk indicator, based on cooccurring alcohol and cocaine dependence and poor progress toward achieving intensive outpatient program goals, had better total abstinence outcomes up to 21 months if they received STND rather than TEL, whereas those with lower scores had higher abstinence rates in TEL than in STND (P=.04). Conclusions:Telephone-based continuing care appears to be an effective form of step-down treatment for most patients with alcohol and cocaine dependence who complete an initial stabilization treatment, compared with more intensive face-to-face interventions. However, highrisk patients may have better outcomes if they first receive group counseling continuing care after completing intensive outpatient programs.

The findings of the review indicate that maintaining therapeutic contact for extended periods of time with individuals with alcohol and other drug disorders appears to promote better long-term outcomes than 'treatment as usual', although more studies are needed that compare extended and standard versions of interventions. Achieving good compliance and successful disease management with extended interventions will probably require adaptive protocols in which the intensity of treatment can be adjusted up or down in response to changes in symptoms and functioning over time. Future directions in research on extended interventions were discussed.

For many individuals, substance abuse possesses characteristics of chronic disorders in that individuals experience repeated cycles of cessation and relapse; hence viewing drug dependence as a chronic, relapsing disorder is increasingly accepted. The development of a treatment for a chronic disorder requires consideration of the ordering of treatments, the timing of changes in treatment, and the use of measures of response, burden and adherence collected during treatment to make further treatment decisions. Adaptive treatment strategies provide a vehicle through which these issues can be addressed and thus provide a means toward improving and informing the clinical management of chronic substance abuse disorders. The sequential multiple assignment randomized trial (SMART) is particularly useful in developing adaptive treatment strategies. Simple analyses that can be used with the SMART design are described. Furthermore the SMART design is compared with standard experimental designs.

Despite the pervasive use of social media by young adults, there is comparatively little known about whether, and how, engagement in social media influences this group's drinking patterns and risk of alcohol-related problems. We examined the relations between young adults' alcohol-related social media engagement (defined as the posting, liking, commenting, and viewing of alcohol-related social media content) and their drinking behavior and problems. We conducted a systematic review and meta-analysis of studies evaluating the association of alcohol consumption and alcohol-related problems with alcohol-related social media engagement. Summary baseline variables regarding the social media platform used (e.g., Facebook and Twitter), social media measures assessed (e.g., number of alcohol photographs posted), alcohol measures (e.g., Alcohol Use Disorders Identification Test and Timeline Follow back Interview), and the number of time points at which data were collected were extracted from each published study. We used the Q statistic to examine heterogeneity in the correlations between alcohol-related social media engagement and both drinking behavior and alcohol-related problems. Because there was significant heterogeneity, we used a random-effects model to evaluate the difference from zero of the weighted aggregate correlations. We used metaregression with study characteristics as moderators to test for moderators of the observed heterogeneity. Following screening, 19 articles met inclusion criteria for the meta-analysis. The primary findings indicated a statistically significant relationship and moderate effect sizes between alcohol-related social media engagement and both alcohol consumption (r = 0.36, 95% CI: 0.29 to 0.44, p < 0.001) and alcohol-related problems (r = 0.37, 95% CI: 0.21 to 0.51, p < 0.001). There was significant heterogeneity among studies. Two significant predictors of heterogeneity were (i) whether there was joint measurement of alcohol-related social media engagement and drinking behavior or these were measured on different occasions and (ii) whether measurements were taken by self-report or observation of social media engagement. We found moderate-sized effects across the 19 studies: Greater alcohol-related social media engagement was correlated with both greater self-reported drinking and alcohol-related problems. Further research to determine the causal direction of these associations could provide opportunities for social media-based interventions with young drinkers aimed at reducing alcohol consumption and alcohol-related adverse consequences.

This article is an initial report from a review of alcohol and drug treatment studies with follow-ups of 2 years or more. The goals of the review are to examine the stability of substance use outcomes and the factors that moderate or mediate these outcomes. Results from 12 studies that generated multiple research reports are presented, and methodological problems encountered in the review are discussed. Substance use outcomes at the group level were generally stable, although moderate within-subject variation in substance use status over time was observed. Of factors assessed at baseline, psychiatric severity was a significant predictor of outcome in the highest percentage of reports, although the nature of the relationship varied. Stronger motivation and coping at baseline also consistently predicted better drinking outcomes. Better progress while in treatment, and the performance of pro-recovery behaviors and low problem severity in associated areas following treatment, consistently predicted better substance use outcomes.