Using behavioral reinforcement to improve methadone treatment participation

Treatment Approaches for Functional Neurological Disorders in Children

Purpose of Review

Functional neurological disorder (FND) is a multi-network brain disorder that encompasses a broad range of neurological symptoms. FND is common in pediatric practice. It places substantial strains on children, families, and health care systems. Treatment begins at assessment, which requires the following: the medical task of making the diagnosis, the interpersonal task of engaging the child and family so that they feel heard and respected, the communication task of communicating and explaining the diagnosis, and the logistical task of organizing treatment.

Recent Findings

Over the past decade, three treatment approaches—Retraining and Control Therapy (ReACT), other cognitive-behavioral therapies, and multidisciplinary rehabilitation—have been evaluated in the USA, Canada, and Australia. Of children treated in such programs, 63 − 95% showed full resolution of FND symptoms. The common thread across the programs is their biopsychosocial approach—consideration of biological, psychological, relational, and school-related factors that contribute to the child’s clinical presentation.

Summary

Current research strongly supports a biopsychosocial approach to pediatric FND and provides a foundation for a stepped approach to treatment. Stepped care is initially tailored to the needs of the individual child (and family) based on the pattern and severity of FND presentation. The level of care and type of intervention may then be adjusted to consider the child’s response, over time, to treatment or treatment combinations. Future research is needed to confirm effective treatment targets, to inform the development of stepped care, and to improve methodologies that can assess the efficacy of stepped-care interventions.

Health literacy of people living with mental illness or substance use disorders: A systematic review

AIM

Health literacy is one's ability to use cognitive and social skills to access, understand and appraise health information. Despite poor health outcomes of people living with mental illness there is limited research assessing their health literacy. This systematic review aims to synthesise research on health literacy rates, conceptualizations, and outcomes of people living with mental illness, including substance use disorders. This will provide insights into how health literacy might be targeted to reduce these health inequities.

METHODS

A search of published literature in multiple databases up until February 2019 was conducted. One reviewer screened the titles, abstracts and keywords of identified publications and the eligibility of all full-text publications were assessed for inclusion along with a second reviewer. Both reviewers independently rated the quality of the included studies.

RESULTS

Fourteen studies were included in the review. Rates and measures of health literacy varied. Low health literacy and health literacy weaknesses were identified. There is a lack of research on the relationship between health literacy and other outcomes, particularly health service engagement.

CONCLUSION

The review highlights the high rates of low health literacy within this population compared with general populations. Most studies used a functional health literacy measure, despite its limitations, with only a few using multidimensional measures. Overall, there is limited research examining the impact that this populations health literacy has on their recovery and how it affects them over time. The review emphasizes the importance of practitioners assessing and targeting health literacy needs when working with this population.

Health literacy in people living with mental illness: A latent profile analysis

Health literacy comprises cognitive and social skills that enable people to understand health information and maintain good health. Research examining the health literacy of people living with mental illness is scarce. The aim of the present study was to identify distinct subgroups of health literacy in individuals attending mental health treatment and determine if profiles and health literacy levels differ from other populations accessing healthcare services and on health characteristics. Participants (N = 325) were attending Neami National Australia services. Participants completed the multidimensional Health Literacy Questionnaire. Latent profile analysis was conducted to identify health literacy profiles. Participants reported lowest health literacy scores in appraising health information, navigating the healthcare system, and finding good health information. Three health literacy profiles were identified; low (20.4%), moderate (61.3%), and high (18.3%). Compared to the other populations (i.e. private hospital patients, men with prostate cancer, older individuals with diabetes, general population, people attending substance dependence treatment), the current sample tended to have lower health literacy scores. The findings highlight the need to increase overall health literacy and consider an individualised approach to enhance specific health literacy domains.

SMARTp: A SMART design for nonsurgical treatments of chronic periodontitis with spatially referenced and nonrandomly missing skewed outcomes

This paper proposes dynamic treatment regimes (DTRs) as effective individualized treatment strategies for managing chronic periodontitis. The proposed DTRs are studied via SMARTp-a two-stage sequential multiple assignment randomized trial (SMART) design. For this design, we propose a statistical analysis plan and a novel cluster-level sample size calculation method that factors in typical features of periodontal responses such as non-Gaussianity, spatial clustering, and nonrandom missingness. Here, each patient is viewed as a cluster, and a tooth within a patient's mouth is viewed as an individual unit inside the cluster, with the tooth-level covariance structure described by a conditionally autoregressive structure. To accommodate possible skewness and tail behavior, the tooth-level clinical attachment level (CAL) response is assumed to be skew-t, with the nonrandomly missing structure captured via a shared parameter model corresponding to the missingness indicator. The proposed method considers mean comparison for the regimes with or without sharing an initial treatment, where the expected values and corresponding variances or covariance for the sample means of a pair of DTRs are derived by the inverse probability weighting and method of moments. Simulation studies are conducted to investigate the finite-sample performance of the proposed sample size formulas under a variety of outcome-generating scenarios. An R package SMARTp implementing our sample size formula is available at the Comprehensive R Archive Network for free download.

Building abstinent networks is an important resource in improving quality of life

AIMS

To investigate changes in social network and quality of life of a substance use disorder cohort as they progressed through treatment.

DESIGN

Multi-site, prospective, observational study of 338 adults entering substance use disorder treatment.

SETTING

Patients at 21 facilities across Norway contributed baseline data when they initiated treatment, and follow-up data was collected from them one year later.

METHODS

The cohort was divided into those who completed, dropped out, and remained in treatment one year after treatment initiation. For each treatment status group, general linear models with repeated measures analyzed global and social quality of life with the generic QOL10 instrument over time. The between-group factor was a change in social network variable from the EuropASI.

FINDINGS

Those who gained an abstinent network reported the largest quality of life improvements. Improvements were smallest or negligible for the socially isolated and those who were no longer in contact with the treatment system.

CONCLUSIONS

Developing an abstinent network is particularly important to improve the quality of life of those in substance use disorder treatment. Social isolation is a risk factor for impaired quality of life throughout the treatment course.

Psychosocial interventions in opiate substitution treatment services: does the evidence provide a case for optimism or nihilism?

BACKGROUND AND AIMS

Clinical guidelines from around the world recommend the delivery of psychosocial interventions as part of routine care in opiate substitution treatment (OST) programmes. However, although individual studies demonstrate benefit for structured psychosocial interventions, meta-analytical reviews find no benefit for manual-based treatments beyond 'routine counselling'.

ANALYSIS

We consider the question of whether OST medication alone is sufficient to produce the required outcomes, or whether greater efforts should be made to provide high-quality psychosocial treatment alongside medication. In so doing, we consider the nuances and limitations of the evidence and the organizational barriers to transferring it into routine practice.

CONCLUSION

The evidence base for psychosocial interventions in opiate substitution treatment (OST) services can be interpreted both positively and negatively. Steering a path between overly optimistic or nihilistic interpretations of the value of psychosocial treatment in OST programmes is the most pragmatic approach. Greater attention should be paid to elements common to all psychological treatments (such as therapeutic alliance), but also to the sequencing and packaging of psychosocial elements and their linkage to peer-led interventions.

Challenges and outcomes of parallel care for patients with co-occurring psychiatric disorder in methadone maintenance treatment

OBJECTIVE

Most opioid users seeking treatment in community-based substance abuse treatment programs have at least one co-occurring psychiatric disorder, and the presence of psychiatric comorbidity in this population is associated with increased psychological distress, poorer quality of life, and reduced response to substance abuse treatment. This observational study describes clinical outcomes of referring patients receiving methadone maintenance with at least one co-occurring psychiatric disorder to a community psychiatry program located on the same hospital campus.

METHODS

Participants (n = 156) were offered priority referrals to a community psychiatry program that included regularly scheduled psychiatrist appointments, individual and group therapy, and enhanced access to psychiatric medications for 1 year. Psychiatric distress was measured with the Symptom Checklist (SCL-90-R), which participants completed monthly.

RESULTS

While about 80% of the sample (n = 124) initiated psychiatric care, the average length of treatment was only 128.2 days (SD = 122.8), participants attended only 33% of all scheduled appointments (M = 14.9 sessions, SD = 14.1), and 84% (n = 104) did not complete a full year of care. Of those who did not complete a full year, over half (55%, n = 68) left psychiatric care while still receiving substance abuse treatment. Exploratory negative binomial regression showed that baseline cocaine and alcohol use disorder (p = .002 and .022, respectively) and current employment (p = .034) were associated with worse psychiatric treatment retention. Modest reductions in psychiatric distress over time were observed (SCL-90-R Global Severity Index change score = 2.5; paired t = 3.54, df = 121, p = .001).

CONCLUSIONS

Referral of patients with co-occurring psychiatric disorders receiving methadone maintenance to a community psychiatry program is often ineffective, even after reducing common barriers to care. Service delivery models designed to improve attendance and retention, such as integrated care models, should be evaluated. This study is part of a larger clinical trial, registered at www.clinicaltrials.gov under #NCT00787735.

Managing psychiatric comorbidity within versus outside of methadone treatment settings: a randomized and controlled evaluation

BACKGROUND AND AIMS

Integrating psychiatric services within substance abuse treatment settings is a promising service delivery model, but has not been evaluated using random assignment to psychiatric treatment setting and controlled delivery of psychiatric care. This study evaluates the efficacy of on-site and integrated psychiatric service delivery in an opioid-agonist treatment program on psychiatric and substance use outcomes.

DESIGN

Participants at the Addiction Treatment Services (ATS) were assigned randomly to receive on-site and integrated substance abuse and psychiatric care (on-site: n = 160) versus off-site and non-integrated substance abuse and psychiatric care (off-site: n = 156), and observed for 1 year. On-site participants received all psychiatric care within the substance abuse program by the same group of treatment providers. The same type and schedule of psychiatric services were available to off-site participants at a community psychiatry program.

SETTING

All participants received routine methadone maintenance at the ATS program in Baltimore, Maryland, USA.

PARTICIPANTS

Participants were opioid-dependent men and women with at least one comorbid psychiatric disorder, as assessed by the Structured Clinical Interview for DSM-IV and confirmed by expert clinical reappraisal.

MEASUREMENTS

Outcomes included psychiatric service utilization and retention, Hopkins Symptom Checklist Global Severity Index (GSI) change scores and urinalysis test results.

FINDINGS

On-site participants were more likely to initiate psychiatric care 96.9 to 79.5%; P < 0.001), remain in treatment longer (195.9 versus 101.9 days; P < 0.001), attend more psychiatrist appointments (12.9 versus 2.7; P < 0.001) and have greater reductions in GSI scores (4.2 versus 1.7; P = 0.003) than off-site participants; no differences were observed for drug use.

CONCLUSIONS

On-site and integrated psychiatric and substance misuse services in a methadone treatment setting might improve psychiatric outcomes compared with off-site and non-integrated substance misuse and psychiatric care. However, this might not translate into improved substance misuse outcomes.

Profiles of quality of life in opiate-dependent individuals after starting methadone treatment: a latent class analysis

BACKGROUND

This study aimed to identify classes of quality of life (QoL) among opiate-dependent individuals five to ten years after starting methadone treatment in order to tailor services to the needs of this population.

METHODS

A cross-sectional study of 159 opiate-dependent individuals who started outpatient methadone treatment in the region of Ghent, Belgium, between 1997 and 2002. A face-to-face structured interview was administered based on the Lancashire Quality of Life Profile, the EuropASI, Brief Symptom Inventory and the Verona Service Satisfaction Scale for Methadone Treatment. Latent class analysis was used to determine patterns of QoL. Analyses of variance and chi-square tests were used to test whether class membership was related to socio-demographic, health- and drug-related variables.

RESULTS

Based on fit criteria, a three-class model was selected. Class Low (14.5%), 'opiate-dependent individuals living in marginal conditions', is characterised by low QoL scores on all domains. Class Intermediate (25.8%), 'stabilized, but socially excluded opiate-dependent individuals' shows high scores on the domains 'safety' and 'living situation', but low scores on all other QoL domains. Class High (59.7%), 'socially included opiate-dependent individuals', is characterised by high QoL scores on all domains, except 'finances'.

CONCLUSION

The findings of this study illustrate the existence of different profiles of QoL among opiate-dependent individuals after starting methadone maintenance treatment and demonstrate the need for a continuing care approach. Insight into distinct classes of QoL can be used to design person-centred support, relevant to an individual's personal life.

Premature deaths after discharge from methadone maintenance: a replication

OBJECTIVE

: Examine rate and causes of death among patients discharged from methadone maintenance, relate them to reasons for discharge, and discuss treatment implications.

METHOD

: Naturalistic study of deaths and causes of death among 636 opioid-dependent veterans treated with methadone maintenance between January 1, 2000 and August 31, 2002.

RESULTS

: Among 456 patients who remained on methadone, 31 (6.8%) died (1 overdose, 1 accident, 13 liver problems, 16 other medical). Among 180 discharged patients, 34 (18.8%) died. Reasons for discharge and causes of death were: continuing drug use (N = 52), 11 deaths (4 overdoses, 4 liver problems, 3 other medical); other disciplinary problems (N = 31), 8 deaths (2 suicides, 2 overdoses, 3 other medical, 1 unknown); other reasons (N = 97), 15 deaths (2 suicides, 1 overdose, 1 accident, 7 liver problems, 3 other medical, 1 unknown). Deaths were significantly less (P < 0.05) among patients who remained on methadone than in each category of those discharged. Follow-up interviews of 99 of 146 discharged patients showed problems in drug use, medical, employment, and psychiatric areas, and that only 21% were in treatment.

CONCLUSIONS

: These findings are consistent with a previous study from the same program, and also from other studies, showing that participating in methadone maintenance reduces mortality. Considered in light of the increased mortality among patients discharged for continuing drug use or behavioral problems, these data suggest that premature mortality can be reduced by keeping patients in treatment and/or taking steps to ensure that discharged patients are promptly enrolled in another program.

Personalized treatment of alcohol dependence

Pharmacogenetic and adaptive treatment approaches can be used to personalize care for alcohol-dependent patients. Preliminary evidence shows that variation in the gene encoding the μ-opioid receptor moderates the response to naltrexone when used to treat alcohol dependence. Studies have also shown moderating effects of variation in the gene encoding the serotonin transporter on response to serotonergic treatment of alcohol dependence. Adaptive algorithms that modify alcohol treatment based on patients' progress have also shown promise. Initial response to outpatient treatment appears to be a particularly important in the selection of optimal continuing care interventions. In addition, stepped-care algorithms can reduce the cost and burden of treatment while maintaining good outcomes. Finally, matching treatment to specific problems present at intake or that emerge during treatment can also improve outcomes. Although all of these effects require replication and further refinement, the future of personalized care for alcohol dependence appears bright.

A Risk-based Model Predictive Control Approach to Adaptive Interventions in Behavioral Health

This paper examines how control engineering and risk management techniques can be applied in the field of behavioral health through their use in the design and implementation of adaptive behavioral interventions. Adaptive interventions are gaining increasing acceptance as a means to improve prevention and treatment of chronic, relapsing disorders, such as abuse of alcohol, tobacco, and other drugs, mental illness, and obesity. A risk-based Model Predictive Control (MPC) algorithm is developed for a hypothetical intervention inspired by Fast Track, a real-life program whose long-term goal is the prevention of conduct disorders in at-risk children. The MPC-based algorithm decides on the appropriate frequency of counselor home visits, mentoring sessions, and the availability of after-school recreation activities by relying on a model that includes identifiable risks, their costs, and the cost/benefit assessment of mitigating actions. MPC is particularly suited for the problem because of its constraint-handling capabilities, and its ability to scale to interventions involving multiple tailoring variables. By systematically accounting for risks and adapting treatment components over time, an MPC approach as described in this paper can increase intervention effectiveness and adherence while reducing waste, resulting in advantages over conventional fixed treatment. A series of simulations are conducted under varying conditions to demonstrate the effectiveness of the algorithm.

Designing a sequentially randomized study with adherence enhancing interventions for diabetes patients

Adaptive treatment strategies can change treatment prescription over time in response to intermediate outcomes. They are the natural choice for treating chronic diseases or for prevention, since the condition of subjects tends to change over the long term. Similarly, flexible intervention strategies are vital for generating or sustaining better adherence in long term treatment settings. When a cost-efficient first-line treatment is available, for instance, good adherence is expected to help delay or avoid second-line treatment.Sequentially randomized trials enable unbiased evaluation of how to best adapt adherence supporting interventions to a history of outcomes and adherence with the goal to optimize future treatment response. In this paper we propose and study different sequential designs targeting cost-efficient control of type II diabetes under first-line treatment through two different classes of adherence support: by (bio)technical and by behavioural means. We study their respective and joint impact first through double factorial adaptive designs, where interventions are triggered by an elevated risk of current treatment failure predicted by poor surrogate response.We develop the double factorial design and several derived designs that are more cost-efficient in the context of managed care of diabetes patients. We evaluate the marginal responses over time to different adaptive treatment strategies by means of doubly robust estimators. We consider sample sizes needed to thus detect realistic and worthwhile effects and discuss the relative practical and theoretical merits of the separate designs.

Using enhanced and integrated services to improve response to standard methadone treatment: changing the clinical infrastructure of treatment networks

Outcomes are presented from opioid-dependent outpatients (N = 81) participating in a new community-based initiative designed to improve access to enhanced substance abuse and psychiatric services in a publicly supported methadone maintenance treatment network in Baltimore, MD. The initiative, entitled Community Access to Specialized Treatment (CAST), is located at the Addiction Treatment Services, a program within this network. Network programs referred patients engaged in unremitting drug use who are at risk for discharge to CAST, where they received methadone substitution, individual and group counseling within an adaptive platform, behavioral contingencies to reinforce adherence, and on-site psychiatric evaluation and care. Patients returned to their referring program after producing at least two consecutive weeks of drug-negative urine samples and full counseling adherence. CAST was well utilized by the community. Patients had high rates of adherence to scheduled individual and group counseling services (93% and 73%, respectively); 43% of referrals successfully completed the program in an average of 101 days. This community-wide service delivery approach is a novel alternative to integrating intensive substance abuse and psychiatric care at each program within a treatment network.

Screening Experiments for Developing Dynamic Treatment Regimes

Dynamic treatment regimes are time-varying treatments that individualize sequences of treatments to the patient. The construction of dynamic treatment regimes is challenging because a patient will be eligible for some treatment components only if he has not responded (or has responded) to other treatment components. In addition there are usually a number of potentially useful treatment components and combinations thereof. In this article, we propose new methodology for identifying promising components and screening out negligible ones. First, we define causal factorial effects for treatment components that may be applied sequentially to a patient. Second we propose experimental designs that can be used to study the treatment components. Surprisingly, modifications can be made to (fractional) factorial designs - more commonly found in the engineering statistics literature -for screening in this setting. Furthermore we provide an analysis model that can be used to screen the factorial effects. We demonstrate the proposed methodology using examples motivated in the literature and also via a simulation study.

Continuing care research: what we have learned and where we are going

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 based on 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.

Sequential causal inference: application to randomized trials of adaptive treatment strategies

Clinical trials that randomize subjects to decision algorithms, which adapt treatments over time according to individual response, have gained considerable interest as investigators seek designs that directly inform clinical decision making. We consider designs in which subjects are randomized sequentially at decision points, among adaptive treatment options under evaluation. We present a sequential method to estimate the comparative effects of the randomized adaptive treatments, which are formalized as adaptive treatment strategies. Our causal estimators are derived using Bayesian predictive inference. We use analytical and empirical calculations to compare the predictive estimators to (i) the 'standard' approach that allocates the sequentially obtained data to separate strategy-specific groups as would arise from randomizing subjects at baseline; (ii) the semi-parametric approach of marginal mean models that, under appropriate experimental conditions, provides the same sequential estimator of causal differences as the proposed approach. Simulation studies demonstrate that sequential causal inference offers substantial efficiency gains over the standard approach to comparing treatments, because the predictive estimators can take advantage of the monotone structure of shared data among adaptive strategies. We further demonstrate that the semi-parametric asymptotic variances, which are marginal 'one-step' estimators, may exhibit significant bias, in contrast to the predictive variances. We show that the conditions under which the sequential method is attractive relative to the other two approaches are those most likely to occur in real studies.

A comparison of 1-year substance abuse treatment outcomes in community syringe exchange participants versus other referrals

This longitudinal cohort study of 324 consecutive admissions to methadone maintenance treatment between 08/1994 and 09/1997 compared 1-year outcomes of opioid-dependent patients referred from a syringe exchange program (SEP; n=81) versus other sources (n=243). All participants received stepped-based counseling. The Addiction Severity Index was completed upon admission. Treatment outcomes were assessed using weekly urine testing and days in treatment. GEE regression models were used to evaluate the association between baseline variables and treatment outcomes. SEP referrals were older, included more males and African Americans, reported greater unemployment and heavier heroin, cocaine, and injection drug use at admission. During treatment, SEP referrals used more opioids (OR 2.57; 95% CI 1.86-3.56) and cocaine (OR 2.77; 95% CI 1.93-3.95), and were less likely to complete 1 year (35%) compared to other referrals (56%; hazard ratio 1.88; 95% CI 1.35-2.62). Nevertheless, referral source was not significantly associated with outcome when adjusted for baseline characteristics. Greater baseline frequency of substance and injection drug use, and younger age were positively associated with ongoing opioid and cocaine use. African American race and baseline unemployment were also associated with ongoing cocaine use. Younger age and greater baseline cocaine use were associated with poorer retention at 1 year. The poorer treatment response of SEP referrals is likely due to higher baseline problem severity. Specialized interventions may be required to reduce drug use and improve retention in this population.

Assessment and management of chronic pain in individuals seeking treatment for opioid dependence disorder

OBJECTIVE

To review the problem of chronic pain in patients with substance use disorders, focusing on the prevalence of chronic pain in patients with substance dependence disorders, especially prescription opioid dependence, associated comorbidities, and the impact on drug abuse treatment response.

METHOD

We identified relevant articles using PubMed from 1987 to 2008. Additional articles were obtained from the reference lists of key reviews of relevant topics. Studies were included if they investigated the relation between chronic pain and substance use disorders. Of particular interest were articles that proposed integrated treatment for both problems.

RESULTS

The high prevalence of chronic pain syndromes was only recently explored in patients seeking treatment for drug abuse. The presence of chronic pain increases the risk of poor response to substance abuse treatment and an increased likelihood of multiple comorbidities that further add to the negative impact experienced by patients with substance dependence disorders. Substance abuse treatment programs offering integrated medical and psychiatric care for these comorbidities improve outcomes, with stepped care approaches offering the best treatment by tailoring the level of care to the individual patient's needs.

CONCLUSIONS

Substance abuse treatment programs should expand their services to address the comorbidities likely to pose barriers to successful drug rehabilitation. Given the high prevalence and negative impact of chronic pain, new pain management services should be integrated within the drug treatment program and adapted as patients demonstrate the need for more intensive treatment. If applied to the problem of chronic pain, a model substance abuse treatment program of integrated stepped care would improve outcomes for patients with both devastating disorders.

Improving treatment engagement in opioid-dependent outpatients with a motivated stepped-care adaptive treatment model

BACKGROUND

Substance abuse treatment programs that provide long term care that includes methadone routinely treat patients with both the chronic and severe form of opioid dependence disorder. In the early 1990s the Addiction Treatment Services clinic at Johns Hopkins Bayview Medical Center began experiencing a growing problem with poor counseling attendance and high rates of continuing opioid and other drug use, primarily cocaine.

METHODS

A comprehensive and adaptive treatment model was developed that adjusts the amount of individual counseling and group therapy, medication dose, and overall monitoring, and integrates them with clinic-based behavioral reinforcement procedures to increase patients' attendance. This model of care (Motivated Stepped Care [MSC]), an adaptive stepped-care treatment approach, was implemented in 1995.

RESULTS

The MSC model has demonstrated large improvements in counseling attendance and rates of urine specimens testing negative for drug use. Additional work has extended the model's evaluation to other common problems-continuing unemployment and limited access to and participation in drug-free social support.

CONCLUSION

The MSC adaptive treatment model is a viable and effective alternative to standard treatment approaches. It is integrated with performance improvement monitoring to inform and adjust the amount of services necessary to achieve and sustain good clinical response to treatment during months and years of care.

Lessons learned from psychotherapy research

BACKGROUND

In addictions treatment research, there has been a relative paucity of work on mechanisms of action that account for observed treatment effects. In studies that have been done, there is little evidence that the purported active ingredients of behavioral interventions such as cognitive-behavioral treatment or motivational interviewing actually mediate treatment effects. This suggests that new approaches are needed to study the process of change in behavioral treatments for addiction.

METHOD

This article reviews several approaches that have been taken by psychotherapy researchers to identify mechanisms of change, including studies of critical sessions, change across sessions, and the relative importance of general vs. specific therapeutic factors.

RESULTS

These approaches all involve careful assessment of both therapist and patient behaviors during treatment sessions and study the relation of these factors to improvements or deteriorations in symptoms over the following weeks.

CONCLUSIONS

Suggestions are offered for how these methods could be used in addiction treatment research to generate hypotheses regarding mechanisms of change that could subsequently be tested in controlled studies.

Rethinking the paradigms that inform behavioral treatment research for substance use disorders

AIMS

Over the last three decades, the randomized controlled trial or 'psychotherapy technology' approach has been the dominant model of inquiry in research on addiction treatment. This period has yielded impressive discoveries, but recent failures to confirm core research hypotheses such as occurred in Project MATCH and the Cocaine Collaborative Treatment Study have raised questions about future research directions. The paper identifies several testable assumptions of the psychotherapy technology model.

METHODS

A review is conducted on four substance use disorder behavioral interventions--motivational interviewing, cognitive-behavioral treatment, behavioral couples treatment and 12-Step-oriented treatment--to determine whether these assumptions are supported by research findings.

RESULTS

Overall, the review suggests weak support for the technology model of psychotherapy research. Lack of support is interpreted as indicating flaws in several model assumptions about how to conceptualize and measure patient responsivity and the interaction of non-specific and specific therapeutic factors. The paper offers alternative strategies for addressing these issues drawn from the general psychotherapy process literature and provides illustrative examples of how these could be used to spur innovation in addiction treatment research.

CONCLUSIONS

The addiction treatment research field is coming up against the limitations of the psychotherapy technology model as the dominant paradigm guiding treatment research. It is important for addiction treatment researchers to explore alternative conceptualizations and methodologies in order to understand more clearly how treatment works.

A behavioral treatment for opioid-dependent patients with antisocial personality

Antisocial personality disorder (APD) is associated with increased problem severity in treatment-seeking opioid-dependent patients. Treatment studies have reported mixed results but generally show that patients with APD make progress that is often comparable to drug-dependent patients without the personality disorder. Much of this work is based on secondary analyses of studies evaluating responses to a variety of drug abuse treatment interventions. This study reports on a randomized prospective trial evaluating a behavioral approach for managing opioid-dependent patients with APD. Subjects (N = 100) met Diagnostic and Statistical Manual of Mental Disorders criteria for opioid dependence and APD using a structured clinical interview and were randomly assigned to either an experimental condition (n = 51), which used a highly structured contingency management intervention, or a control condition (n = 49), which reflected standard methadone treatment. Subjects in the experimental group had significantly better counseling attendance and some indication of lower psychosocial impairment compared to the control group. The experimental intervention increased attendance in subjects with low and high levels of psychopathy and with and without other psychiatric comorbidity. These findings support the development of interventions more tailored to drug-dependent patients with APD.

A stepped care approach for reducing cannabis use in opioid-dependent outpatients

This study evaluated rates of cannabis use and the effectiveness of an adaptive stepped care intervention for reducing cannabis use in methadone maintenance patients. Patients testing cannabis positive during a 6-month baseline were advanced to more weekly counseling (up to 9 hours per week) until producing four consecutive weeks of cannabis- and other drug-negative urine samples. Patients were followed up for 1 year. Continued access to uninterrupted methadone delivery was ultimately contingent upon attending scheduled counseling and achieving abstinence from all drug use. The results showed that 18% of the clinic census (n = 57) tested positive for cannabis. The effectiveness of the intervention was assessed for 15 patients testing positive for cannabis exclusively. Ten of these patients (67%) discontinued cannabis use prior to the intervention and remained at reduced care. Four of the five patients who were advanced to higher steps of care ultimately discontinued cannabis use; one left treatment against medical advice. The results suggest that motivated stepped care is an effective intervention for reducing cannabis use.

Comparing adaptive stepped care and monetary-based voucher interventions for opioid dependence

This 6-month randomized clinical trial (with 3-month follow-up) used a 2x2 design to compare the independent and combined effectiveness of two interventions designed to improve outcomes in treatment-seeking opioid dependent patients (n=236): motivated stepped care (MSC) and contingent voucher incentives (CVI). MSC is an adaptive treatment strategy that uses principles of negative reinforcement and avoidance to motivate both attendance to varying levels of counseling services and brief periods of abstinence [Brooner, R.K., Kidorf, M., 2002. Using behavioral reinforcement to improve methadone treatment participation. Sci. Pract. Perspect. 1, 38-46; Brooner, R.K., Kidorf, M.S., King, V.L., Peirce, J.M., Bigelow, G.E., Kolodner, K., 2004. A modified "stepped care" approach to improve attendance behavior in treatment seeking opioid abusers. J. Subst. Abuse Treat. 27, 223-232]. In contrast, CVI [Higgins, S., Delaney, D.D., Budney, A.J., Bickel, W.K., Hughes, J.R., Foerg, B.A., Fenwick, J.W., 1991. A behavioral approach to achieving initial cocaine abstinence. Am. Psychiatr. 148, 1218-1224] relies on positive reinforcement to motivate drug abstinence. The results showed that the combined approach (MSC+CVI) was associated with the highest proportion of drug-negative urine samples during both the randomized and 3-month follow-up arms of the evaluation. The CVI-only and the MSC-only conditions evidenced similar proportions of drug-negative urine samples that were both significantly greater than the standard care (SC) comparison group. Voucher-based reinforcement was associated with better retention, while adaptive stepped-based care was associated with better adherence to scheduled counseling sessions. These results suggest that both CVI and MSC are more effective than routine care for reducing drug use in opioid dependent outpatients, and that the overall benefits of MSC are enhanced further by adding positive reinforcement.

Using engineering control principles to inform the design of adaptive interventions: a conceptual introduction

The goal of this paper is to describe the role that control engineering principles can play in developing and improving the efficacy of adaptive, time-varying interventions. It is demonstrated that adaptive interventions constitute a form of feedback control system in the context of behavioral health. Consequently, drawing from ideas in control engineering has the potential to significantly inform the analysis, design, and implementation of adaptive interventions, leading to improved adherence, better management of limited resources, a reduction of negative effects, and overall more effective interventions. This article illustrates how to express an adaptive intervention in control engineering terms, and how to use this framework in a computer simulation to investigate the anticipated impact of intervention design choices on efficacy. The potential benefits of operationalizing decision rules based on control engineering principles are particularly significant for adaptive interventions that involve multiple components or address co-morbidities, situations that pose significant challenges to conventional clinical practice.

Developing adaptive treatment strategies in substance abuse research

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.

Adolescent and young adult heroin patients: drug use and success in methadone maintenance treatment

This study examined the impact of methadone maintenance treatment on an inclusive group of adolescent and young adult opiate-dependent patients, ages 15-23, admitted over a 6-year period, during their first year in the program. Retention in treatment was the primary outcome variable, and at 12 months, 48% were still in treatment. The findings were: (a) a stepwise discriminant function analysis revealed that patients who consistently used heroin were at a greater risk of leaving treatment within the first 12 months; (b) the use of cocaine was an indicator of higher levels of heroin use in those who reached the one-year mark; (c) among patients who stayed in treatment for one year, there was a significant reduction in heroin use, a trend toward a reduction in cocaine use, and no significant impact on benzodiazepine use; and (d) the group that stayed in treatment was slightly younger than the group that left before the first year ended. There were no gender or ethnic differences between the two groups. Suggestions for interventions that might improve treatment outcome are presented.

A 12-month controlled trial of methadone medical maintenance integrated into an adaptive treatment model

Methadone medical maintenance (MMM) reduces the reporting schedule for stable and well-functioning methadone maintenance patients to once a month, with counseling provided by medical staff. We report on the 12-month outcomes of 92 highly stable methadone maintenance patients randomly assigned to one of three study conditions: routine care, MMM at the methadone maintenance program, and MMM at a physician's office. Methadone medical maintenance patients received a 28-day supply of methadone, whereas routine care patients received five or six take-home methadone doses each week. All patients performed a medication recall once a month and submitted two urine samples each month. An adaptive stepped-care system of treatment intensification was used for patients who failed recall or who had drug-positive urine specimens. Seventy-seven patients completed the 12-month study period. Dropout was caused primarily by problems with handling methadone and disliking the recall frequency. There were low rates of drug use or failed medication recall. Treatment satisfaction was high in all groups, but the MMM patients initiated more new employment or family/social activities than did routine care patients over the study period. The stepped-care approach was well tolerated and matched patients to an appropriate step of service within a continuum of treatment intensity.

Enhancing validity in co-occurring disorders treatment research

Despite the high prevalence of co-occurring mental health and substance-use disorders, there has been a relative lack of treatment research with this population, and the existing research often has limited validity. This article explores some of the barriers to the conduct of research on promising interventions for substance-abuse treatment for people with co-occurring disorders, using the concepts of external and ecological validity to make recommendations for future investigation. The central recommendation is to move rapidly from efficacy studies to more credible and valid effectiveness studies, in order to facilitate the adoption of evidence-based interventions in routine practice settings.

Is there a case for extended interventions for alcohol and drug use disorders?

AIMS

To determine whether there is evidence to support the implementation of extended interventions (i.e. longer than 6 months) for individuals with alcohol or other drug use disorders.

METHODS

Literature on extended behavioral and pharmacotherapy interventions was reviewed, along with findings from studies of extended monitoring and monitoring paired with adjunctive counseling. Studies were identified through database searches, citations in prior reviews and examinations of recent volumes of relevant journals. Key terms were defined, and a theoretical rationale was presented for extended treatment. Several adaptive treatment studies that made use of stepped care or continuation protocols were also described.

MEASUREMENTS

The primary outcomes that were considered were alcohol and drug use during the intervention and post-intervention follow-ups. Other outcomes were examined when they were included in the articles reviewed.

FINDINGS

Most of the studies in the review provided support for the effectiveness of extended interventions for alcohol and drug abusers, whether the extended care was delivered through face-to-face contact or via the telephone. These findings held across all types of interventions that were examined (e.g. behavioral treatment, pharmacotherapy and monitoring). However, only a few studies directly compared extended and standard length version of the same intervention. New developments in addiction treatment with implications for extended care models were also described and discussed.

CONCLUSIONS

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.

Challenges in motivating treatment enrollment in community syringe exchange participants

Participants of syringe exchange programs (SEPs) exhibit high rates of substance use disorder but remain extremely ambivalent about seeking treatment. This study evaluated the effectiveness of motivational interviewing (MI) for encouraging SEP participants to enroll in substance abuse treatment. New opioid-dependent registrants to the Baltimore Needle Exchange Program (BNEP) (n =302) completed the Structured Clinical Interview for the Diagnostic and Statistical Manual of Mental Disorders, fourth edition (DSM-IV), and the Addiction Severity Index (ASI) and were randomly assigned to one of three treatment referral conditions: (1) MI, (2) job readiness (JR) (attention control), or (3) standard referral. Participants in each condition who expressed interest in treatment were referred to a treatment readiness group that provided further encouragement and referral to programs that were accepting new admissions. Participants were observed for 1 year following the intervention. The results showed that 10.9% of study participants enrolled in substance abuse treatment, although no condition effects were observed. White participants and those diagnosed with major depression were most likely to enter treatment. The results suggest that a single motivational interview is insufficient to motivate changes in treatment seeking in this population, whereas the identification of predictors of treatment enrollment is worthy of further investigation.

A Generalization Error for Q-Learning

Planning problems that involve learning a policy from a single training set of finite horizon trajectories arise in both social science and medical fields. We consider Q-learning with function approximation for this setting and derive an upper bound on the generalization error. This upper bound is in terms of quantities minimized by a Q-learning algorithm, the complexity of the approximation space and an approximation term due to the mismatch between Q-learning and the goal of learning a policy that maximizes the value function.

An experimental design for the development of adaptive treatment strategies

In adaptive treatment strategies, the treatment level and type is repeatedly adjusted according to ongoing individual response. Since past treatment may have delayed effects, the development of these treatment strategies is challenging. This paper advocates the use of sequential multiple assignment randomized trials in the development of adaptive treatment strategies. Both a simple ad hoc method for ascertaining sample sizes and simple analysis methods are provided.

A conceptual framework for adaptive preventive interventions

Recently, adaptive interventions have emerged as a new perspective on prevention and treatment. Adaptive interventions resemble clinical practice in that different dosages of certain prevention or treatment components are assigned to different individuals, and/or within individuals across time, with dosage varying in response to the intervention needs of individuals. To determine intervention need and thus assign dosage, adaptive interventions use prespecified decision rules based on each participant's values on key characteristics, called tailoring variables. In this paper, we offer a conceptual framework for adaptive interventions, discuss principles underlying the design and evaluation of such interventions, and review some areas where additional research is needed.

Behavioral contingencies improve counseling attendance in an adaptive treatment model

Poor patient adherence remains a serious obstacle to improving the effectiveness of many drug abuse therapies and the overall quality of care delivered in programs. The present study evaluated the utility and efficacy of incorporating behavioral contingencies in a stepped care treatment approach to motivate patient attendance to the varying amounts of prescribed weekly counseling. Study participants were opioid-dependent patients (n = 127) newly admitted to an ambulatory treatment program that provides methadone. Participants were randomly assigned to a Motivated Stepped Care condition (MSC; n = 65) with behavioral contingencies to specifically motivate counseling attendance vs. a Standard Stepped Care condition (SSC; n = 62) without these contingencies. The MSC vs. SSC condition was associated with a higher rate of counseling attendance (83% vs. 44%, p < .001) and a lower rate of poor treatment response (46% vs. 79%, p < .001). The behavioral contingencies were well tolerated and strongly associated with excellent attendance across both lower and higher doses of weekly counseling.

A longitudinal evaluation of treatment engagement and recovery stages

Recent methodological advancements for structural equation modeling were used to test a comprehensive version of the TCU Treatment Model, especially for addressing the hypothesized sequential relationships of early engagement components (participation and therapeutic relationship) and early recovery (psychosocial and behavioral changes) that contribute to retention and posttreatment recovery. Relationships among pretreatment patient motivation, treatment process elements, a cognitive-based treatment strategy, retention, and drug use outcomes were estimated using intake, during treatment, and 1-year followup data for 711 patients in outpatient methadone treatment. Hypothesized sequential elements representing treatment process and patient functioning were supported, and relationships between these components were estimated also as odds ratios as an aid for translating the findings and increasing their clinical usefulness to treatment settings.

A conceptual framework for drug treatment process and outcomes

Evidence from specialized treatment evaluations and large-scale natural studies of treatment effectiveness is organized conceptually into a "treatment model" for summarizing how drug treatment works. Sequential relationships between patient and treatment program attributes, early patient engagement, recovery stages, retention, and favorable outcomes are discussed--along with behavioral, cognitive, and skills training interventions that have been shown to be effective for enhancing specific stages of the patient recovery process. Applications of the treatment model for incorporating science-based innovations into clinical practice for improving early engagement and retention, performance measurements of patient progress, program monitoring and management using aggregated patient records, and organizational functioning and systems change also are addressed.

Combining stepped-care approaches with behavioral reinforcement to motivate employment in opioid-dependent outpatients

Employment is associated with improved treatment outcome for opioid-dependent outpatients receiving methadone (e.g., Platt, 1995). Opioid-dependent individuals typically enter treatment unemployed and many remain unemployed despite reductions in heroin use. Additional interventions are needed to motivate employment seeking behaviors and outcome. This article reports on a promising approach to reduce the chronic unemployment commonplace in treatment-seeking, opioid-dependent patients--a "stepped care" service delivery intervention that incorporates multiple behavioral reinforcements to motivate patient participation in and adherence to the treatment plan. This therapeutic approach (Motivated Stepped Care--MSC; Brooner and Kidorf (2002) was refined and modified to motivate and support a range of positive treatment behaviors and outcomes in patients with opioid-dependence (Kidorf et al. 1999), including job-seeking and acquisition. Patients who are unemployed after one year of treatment are systematically advanced to more intensive steps of weekly counseling and remain there until employment is attained. Those who remain unemployed despite exposure to at least 4 weeks of counseling at the highest step of care (Step 3, which is 9 h weekly of counseling) are started on a methadone taper in preparation for discharge, which is reversible upon attaining a job. This article describes the MSC approach and presents rates of employment for patients who were judged capable of working (n = 228). A review of medical and billing records during August--September 2002 revealed that the great majority of these patients were employed (93%), usually in full-time positions. Employment was associated with less frequent advancement to higher intensities of weekly counseling because of drug use. Further, multiple indices of improved employment stability and functioning, including months of work, hours of work, and annualized salary, were associated with better drug use outcomes. These data suggest that the MSC intervention is an effective platform for motivating and supporting both job seeking and employment in patients with chronic and severe substance use disorder.