Primary outcome indices in illicit drug dependence treatment research: systematic approach to selection and measurement of drug use end-points in clinical trials

Cognitive behavioral therapy for anxiety and opioid use disorder: Development and pilot testing

INTRODUCTION

Anxiety disorders are highly prevalent among people with opioid use disorder (OUD), and they have a negative impact on disorder course and treatment outcomes. The objective of this Stage 1 A/1B behavioral treatment development trial was to develop a novel cognitive-behavioral therapy (CBT) protocol for co-occurring anxiety disorders and OUD.

METHODS

Following a period of iterative manual development involving patient interviews and feedback from content experts, we tested a 12-session individual CBT protocol in a small, open pilot trial (N = 5). This was followed by a small, randomized controlled trial (N = 32), comparing the new protocol to 12 sessions of manualized Individual Drug Counseling. All participants also received medication for OUD.

RESULTS

Overall, support for feasibility and acceptability was strong, based on recruitment and retention rates and patient satisfaction ratings. Within-subjects results identified 11-point reductions in anxiety symptom severity (on a 0-56 point scale); these gains were sustained through 3 months of follow-up. However, these changes did not differ between randomized conditions. With respect to opioid outcomes, 85 % of participants were abstinent in the prior month at the end of treatment. Opioid use outcomes also did not differ by treatment condition.

CONCLUSIONS

These results support the feasibility and acceptability of a CBT protocol for co-occurring anxiety and OUD. However, in this small pilot trial results do not show an initial benefit over an evidence-based psychosocial treatment targeted to OUD alone, in combination with medication for OUD.

Empirically contrasting urine drug screening-based opioid use disorder treatment outcome definitions

BACKGROUND AND AIMS

A lack of consensus on the optimal outcome measures to assess opioid use disorder (OUD) treatment efficacy and their precise definition and computation has hampered the pooling of research data for evidence synthesis and meta-analyses. This study aimed to empirically contrast multiple clinical trial definitions of treatment success by applying them to the same dataset.

METHODS

Data analysis used a suite of functions, developed as a software package for the R language, to operationalize 61 treatment outcome definitions based on urine drug screening (UDS) results. Outcome definitions were derived from clinical trials that are among the most influential in the OUD treatment field. Outcome functions were applied to a harmonized dataset from three large-scale National Drug Abuse Treatment Clinical Trials Network (CTN) studies, which tested various medication for OUD (MOUD) options (n = 2492). Hierarchical clustering was employed to empirically contrast outcome definitions.

RESULTS

The optimal number of clusters identified was three. Cluster 1, comprising eight definitions focused on detecting opioid-positive UDS, did not include missing UDS in outcome calculations, potentially resulting in inflated rates of treatment success. Cluster 2, with the highest variability, included 10 definitions characterized by strict criteria for treatment success, relying heavily on UDS results from either a brief period or a single study visit. The 43 definitions in Cluster 3 represented a diverse range of outcomes, conceptualized as measuring abstinence, use reduction and relapse. These definitions potentially offer more balanced measures of treatment success or failure, as they avoid the extreme methodologies characteristic of Clusters 1 and 2.

CONCLUSIONS

Clinical trials using urine drug screening (UDS) for objective substance use assessment in outcome definitions should consider (1) incorporating missing UDS data in outcome computation and (2) avoiding over-reliance on UDS data confined to a short time frame or the occurrence of a single positive urine test following a period of abstinence.

Development of Mobile Contingency Management for Cannabis Use Reduction

Many interventions for cannabis use disorder (CUD) are associated with decreases in frequency and quantity of use but fail to increase overall rates of sustained abstinence. It is currently unknown whether reductions in use (in the absence of sustained abstinence) result in clinically significant improvements in functioning. The objective of this study was to refine a mobile contingency management approach to reduce cannabis use to ultimately evaluate whether reductions in frequency and quantity of cannabis are related to improvements in functional and mental health status. Three cohorts of participants (n = 18 total, n = 10 women) were enrolled and completed 2 weeks of ecological momentary assessment (EMA) during a baseline ad lib cannabis use period, followed by a 6-week reduction period. Participants completed EMA assessments multiple times per day and were prompted to provide videotaped saliva cannabis testing 2-3 times daily. Data from participants who were at least 80% adherent to all EMA prompts were analyzed (13 out of 18). During the ad lib phase, participants were using cannabis on 94% of the days and reported using a mean of 1.42 grams daily. The intervention was a mobile application that participants used to record cannabis use by saliva tests to bioverify abstinence and participants completed electronic diaries to report their grams used. During the 6-week intervention phase, participants reported reducing their use days to 47% of the days with a reported mean of .61 grams daily. In the last cohort, at least 50% of the heavy users were able to reduce their cannabis use by at least 50%. The effect of cannabis reduction (versus abstinence) is largely unknown. Observations suggest that it is possible to develop a mobile intervention to reduce cannabis use among heavy users, and this paradigm can be utilized in future work to evaluate whether reductions in cannabis use among heavy users will result in improvements in functional and mental health status.

Examining Changes in Quality of Life as an Outcome Measure in Three Randomized Controlled Trials of Online Interventions That Included an Intervention for Hazardous Alcohol Use

BACKGROUND

Quality of life (QOL) summarizes an individual's perceived satisfaction across multiple life domains. Many factors can impact this measure, but research has demonstrated that individuals with addictions, physical, and mental health concerns tend to score lower than general population samples. While QOL is often important to individuals, it is rarely used by researchers as an outcome measure when evaluating treatment efficacy.

METHODS

This secondary analysis used data collected during three separate randomized controlled trials testing the efficacy of different online interventions to explore change in QOL over time between treatment conditions. The first project was concerned with only alcohol interventions. The other two combined either a gambling or mental health intervention with a brief alcohol intervention. Males and females were analyzed separately.

RESULTS

This analysis found treatment effects among female participants in two projects. In the project only concerning alcohol, female quality of life improved more among those who received an extensive intervention for hazardous alcohol use compared to a brief intervention (p = .029). QOL among females who received only the mental health intervention improved more than those who also received a brief alcohol intervention (p = .049).

CONCLUSION

Poor QOL is often cited as a reason individuals decide to make behavior changes, yet treatment evaluations do not typically consider this patient-important outcome. This analysis found some support for different treatment effects on QOL scores in studies involving at least one intervention for hazardous alcohol use.

Feasibility and preliminary efficacy of a community support intervention for people with opioid use disorder

BACKGROUND AND OBJECTIVES

People receiving agonist treatment for opioid use disorder often have family or friends who do not use illicit substances and could be mobilized to support recovery efforts. The present study evaluates the feasibility and preliminary efficacy of a community support intervention (CSI) designed to increase drug-free social support and expand drug-free network support.

METHODS

Participants receiving methadone treatment and using illicit drugs (n = 33) were randomly assigned to a weekly CSI or education group for 12 weeks. CSI participants attended the group with a drug-free family member or friend, and were scheduled to engage together in two community activities per week designed to meet drug-free people. Education participants attended a weekly education group and were given two weekly written homework sessions.

RESULTS

CSI groups were well attended. CSI participation was associated with reduced conflict with the family member or friend, and with increased engagement in self-help groups. No condition differences were observed in social network variables or urinalysis results, though four CSI participants (24%) compared to 0 education participants met criteria for substantial (>75%) reductions in drug use. Many eligible patients chose not to participate.

DISCUSSION AND CONCLUSIONS

These findings suggest good implementation feasibility and acceptability, and low demand feasibility. Broader clinical implementation requires strategies to improve patient willingness to enlist available social support.

SCIENTIFIC SIGNIFICANCE

Mobilizing family and friends to provide social support for people engaged in active drug use is possible. More work is needed on how to leverage support to change existing networks.

Exploring the performance of during-treatment substance use outcome measures in predicting longer-term psychosocial functioning and post-treatment abstinence

BACKGROUND

The selection of appropriate efficacy endpoints in clinical trials has been a long-standing challenge for the substance use disorder field. Using data from a large, multi-site National Drug Abuse Treatment Clinical Trials Network trial (CTN-0044; n=474), this secondary data analysis aimed to explore whether specific proximal (during-treatment) substance use outcome measures predict longer-term improvements in psychosocial functioning and post-treatment abstinence, and whether predictions vary depending on the specific substance (cannabis, cocaine/stimulants, opioids, and alcohol).

METHODS

Generalized linear mixed models examined associations between six during-treatment substance use outcome measures and social functioning impairment (Social Adjustment Scale Self-Report) and severity of psychiatric symptoms (Brief Symptom Inventory-18) at end-of-treatment, and 3- and 6-months after treatment as well as post-treatment abstinence.

RESULTS

Maximum days of consecutive abstinence, proportion of days abstinent, ≥3 weeks of continuous abstinence, and the proportion of urine specimens negative for the primary substance were associated with post-treatment psychiatric and social functioning improvement and abstinence. However, only the effects of abstinence during the last 4 weeks of the treatment period on all three post-treatment outcomes was stable over time and did not differ between primary substance groups. In contrast, complete abstinence during the 12-week treatment period was not consistently associated with functioning improvements.

CONCLUSIONS

Substance use outcome measures capturing the duration of primary substance abstinence during treatment are suitable predictors of post-treatment abstinence and longer-term psychosocial functioning improvement. Binary outcomes, such as end-of-treatment abstinence, may be particularly stable predictors and attractive given their ease of computation and straightforward clinical interpretability.

Meta-review on the efficacy of psychological therapies for the treatment of substance use disorders

This meta-review aimed to summarize the current state of knowledge provided by meta-analyzes on the efficacy of psychotherapies for substance use disorders. A systematic search was performed in PubMed, PsycINFO, Web of Science and Google Scholar. Meta-analyzes were included if they quantitatively examined the efficacy of a psychotherapy on substance use. Among the 6866 potential articles that were screened for eligibility, 23 meta-analyzes were eligible (78 effect sizes). Each meta-analysis included 2-156 studies, with samples ranging between approximately 130 to over 33,000 individuals. The quality of evidence was evaluated as being globally of low to moderate quality. Substances were categorized as: alcohol (k = 12), cannabis (k = 7), stimulants (k = 4), opioids (k = 3) and benzodiazepines (k = 1). Interventions comprised brief intervention, cognitive-behavioral therapy, contingency management, voucher-based reinforcement therapy, motivational interview, motivational enhancement therapy, significant other people involved in the treatment, and cue-expose therapy. Concerning solely significant results, small benefits were observed for significant other people involved in treatment, motivational interviewing, and the combination of cognitive-behavioral therapy with motivational interviewing for alcohol use disorder. Likewise, small-to-moderate effects were found for motivational approaches, and cognitive-behavioral therapy as well as the combination of cognitive-behavioral therapy and motivational enhancement therapy in the case of cannabis use disorder. Small effects were observed for contingency management as well as cognitive behavioral-therapy for amphetamine-type use disorder. Small effects were similarly found for contingency management for cocaine use disorder. Concerning opioid use disorder, moderate effects were observed for contingency management and voucher-based reinforcement intervention. For benzodiazepine use disorder, small effects were noted for cognitive-behavioral therapy with taper. Results often displayed small to moderate heterogeneity when reported and were generally compared to inactive controls, such as treatment-as-usual. In all, the psychosocial treatments for substance use disorders included in this meta-review have shown to be at best moderately effective over inactive controls in the short term. Nevertheless, further trials are needed as well as meta-analyzes on interventions not included in this meta-review.

Attitudes and experiences with fentanyl contamination of methamphetamine: exploring self-reports and urine toxicology among persons who use methamphetamine and other drugs

BACKGROUND

There are growing concerns about illicitly manufactured fentanyl (IMF) contamination of methamphetamine. This study aims to characterize the lay views and experiences with IMF-contaminated methamphetamine (IMF/meth) and identify participants with unknown IMF exposures through urine toxicology analysis.

METHODS

Between December-2019 and November-2021, structured interviews were conducted with 91 individuals who reported past 30-day use of methamphetamine and resided in Dayton, Ohio, USA. Lab-based urine toxicology analyses were conducted to identify fentanyl/analogs, methamphetamine, and other drugs. Bivariate analyses were conducted to identify characteristics associated with attitudes and experiences with IMF/meth, and unknown IMF exposures.

RESULTS

The majority (95.6%) of the study participants were non-Hispanic white, and 52.7% were female. Past 30-day use of methamphetamine was reported on a mean of 18.7 (SD 9.1) days, and 62.6% also reported past 30-day use of heroin/IMF. Most (76.9%) had a history of an unintentional drug-related overdose, but 38.5% rated their current risk for an opioid overdose as none. Besides fentanyl (71.9%), toxicology analysis identified nine fentanyl analogs/metabolites (e.g., 42.7% acetyl fentanyl, 19.0% fluorofentanyl, 5.6% carfentanil), and 12.4% tested positive for Xylazine. The majority (71.4%) believed that IMF/meth was common, and 59.3% reported prior exposures to IMF/meth. 11.2% tested positive for IMF but reported no past 30-day heroin/IMF use (unknown exposure to IMF). Views that IMF/meth was common showed association with homelessness (p = 0.04), prior overdose (p = 0.028), and greater perceived risk of opioid overdose (p = 0.019). Self-reported exposure to IMF/meth was associated with homelessness (p = 0.007) and obtaining take-home naloxone (p = 0.025). Individuals with unknown IMF exposure (test positive for IMF, no reported past 30-day heroin/IMF use) were older (49.9 vs. 41.1 years, p < 0.01), and reported more frequent past 30-day use of methamphetamine (24.4 vs. 18.0 days, p < 0.05). They indicated lower perceived risk of opioid overdose (0.1 vs. 1.9, scale from 0 = "none" to 4 = "high," p < 0.001).

DISCUSSION

This study suggests a need for targeted interventions for people who use methamphetamine and expansion of drug checking and other harm reduction services.

Trajectories of non-prescribed buprenorphine and other opioid use: A multi-trajectory latent class growth analysis

INTRODUCTION

With the increasing use of non-prescribed buprenorphine (NPB), we need more data to identify the longitudinal patterns of NPB use. The goal of this natural history study is to characterize heterogeneity in trajectories of NPB, other opioid use, and participation in medication for opioid disorder (MOUD) treatment among a community-recruited sample of individuals with current opioid use disorder (OUD).

METHODS

The study recruited a community-based sample of 357 individuals with OUD who used NPB in the past 6 months in Ohio, United States, for baseline and follow-up assessments (every 6 months for 2 years) of drug use, treatment participation, and other health and psychosocial characteristics. The study used multiple imputation to handle missing data. We used a multi-trajectory latent class growth analysis (MT-LCGA) to find salient groupings of participants based on the trajectories of NPB, other opioid use, and treatment participation.

RESULTS

Over time, NPB use frequency declined from a mean of 14.6 % of days at baseline to 3.6 % of days at 24-month follow-up along with declines in heroin/fentanyl (56.4 % to 23.6 % of days) and non-prescribed pharmaceutical opioid (NPPO) use (11.6 % to 1.5 % of days). Participation in MOUD treatment increased from a mean of 17.0 % of days at baseline to 52.4 % of days at 24 months. MT-LCGA identified a 6-class model. All six classes showed declines in NPB use. Class 1 (28 %) was characterized by high and increasing MOUD treatment utilization. Class 2 (21 %) showed sustained high levels of heroin/fentanyl use and had the lowest levels of NPB use (2.2 % of days) at baseline. Class 3 (3 %) was characterized as the primary NPPO use group. Class 4 (5 %) transitioned from high levels of NPB use to increased MOUD treatment utilization. It had the highest levels of NPB use at baseline (average of 80.7 % of days) that decreased to an average of 12.9 % of days at 24 months. Class 5 (16 %) showed transition from high levels of heroin/fentanyl use to increased MOUD treatment utilization. Class 6 (27 %) showed decreased heroin/fentanyl use over time and low MOUD treatment utilization. Classes showed varying levels of improvement in psychosocial functioning, polydrug use, and overdose risks.

CONCLUSION

Overall, our findings suggest that NPB use was generally self-limiting with individuals reducing their use over time as some engage in greater utilization of MOUD treatment. A need exists for continuing improvements in MOUD treatment access and retention.

Proof-of-concept trial of Goal Management Training+ to improve executive functions and treatment outcomes in methamphetamine use disorder

BACKGROUND

Deficits in executive function are common in methamphetamine use disorder (MUD), likely contributing to difficulties in sustained treatment success. Cognitive remediation interventions are designed to treat such deficits but have not been adapted to the needs of people with MUD. This study presents a proof-of-concept trial to evaluate a new cognitive remediation program for MUD, Goal Management Training⁺ (GMT⁺).

METHODS

This was a cluster-randomised crossover trial comparing GMT⁺ with a psychoeducation-based control (Brain Health Workshop; BHW). GMT⁺ is a therapist-administered group-based cognitive remediation for executive dysfunction comprising four 90-minute weekly sessions and daily journal activities. BHW is a lifestyle psychoeducation program matched to GMT⁺ for therapist involvement, format, and duration. Participants (n = 36; GMT n = 17; BHW n = 19) were recruited from therapeutic communities in Victoria, Australia. Primary outcomes included intervention acceptability, feasibility, and improvements in self-reported executive function. Secondary outcomes included cognitive tests of executive function, severity of methamphetamine dependence, craving, and quality of life. We performed mixed linear modelling and calculated Hedges' g effect sizes.

RESULTS

GMT⁺ participant ratings and program retention indicated high acceptability. There was no difference between GMT⁺ and BHW on self-reported executive function (g = 0.06). Cognitive tasks suggested benefits of GMT⁺ on information gathering (g = 0.88) and delay-discounting (g = 0.80). Severity of methamphetamine dependence decreased more in GMT⁺ (g = 1.47).

CONCLUSIONS

GMT⁺ was well-accepted but did not improve self-reported executive functioning. Secondary outcomes suggested GMT⁺ was beneficial for objective cognitive performance and severity of dependence.

Risk factors for relapse among methamphetamine users receiving a joint legal-medical treatment program as a diversion intervention: A one-year follow-up study

BACKGROUND

Methamphetamine (METH) is a Schedule II illicit drug in Taiwan. A 12-month legal-medical joint intervention program has been developed for first-time METH offenders during deferred prosecution. Risk factors associated with METH relapse use among these individuals were unknown.

METHODS

We enrolled a total of 449 METH offenders referred by the Taipei District Prosecutor's Office to Taipei City Psychiatric Center. The study defines relapse as having any positive urine toxicology result or self-report of METH use during 12-month treatment. We compared demographic and clinical variables between a relapse group and nonrelapse group and used a Cox proportional hazards model to determine variables associated with time to relapse.

RESULTS

Of all participants, 37.8 % relapsed to use METH and 23.2 % were noncompleters in the one-year follow-up. Compared to the nonrelapse group, the relapse group had lower educational attainment, more severe psychological symptoms, longer duration of METH use, higher odds of polysubstance use, higher craving severity, and higher odds of positive baseline urine. The Cox analysis revealed individuals with positive urine results and higher craving severity at baseline were at higher risks of METH relapse (hazard ratio [95 % CI]: 3.85 [2.61-5.68] and 1.71 [1.19-2.46], respectively, p < 0.001). Baseline positive urine results and high craving could also predict a shorter length of time to relapse than their respective counterparts.

CONCLUSIONS

Positive urine screening for METH at baseline and high craving severity are two indicators of an increased risk of drug relapse. Tailored treatment plans incorporating these findings to prevent relapse are warranted in our joint intervention program.

A scoping review of electroencephalographic (EEG) markers for tracking neurophysiological changes and predicting outcomes in substance use disorder treatment

Substance use disorders (SUDs) constitute a growing global health crisis, yet many limitations and challenges exist in SUD treatment research, including the lack of objective brain-based markers for tracking treatment outcomes. Electroencephalography (EEG) is a neurophysiological technique for measuring brain activity, and although much is known about EEG activity in acute and chronic substance use, knowledge regarding EEG in relation to abstinence and treatment outcomes is sparse. We performed a scoping review of longitudinal and pre-post treatment EEG studies that explored putative changes in brain function associated with abstinence and/or treatment in individuals with SUD. Following PRISMA guidelines, we identified studies published between January 2000 and March 2022 from online databases. Search keywords included EEG, addictive substances (e.g., alcohol, cocaine, methamphetamine), and treatment related terms (e.g., abstinence, relapse). Selected studies used EEG at least at one time point as a predictor of abstinence or other treatment-related outcomes; or examined pre- vs. post-SUD intervention (brain stimulation, pharmacological, behavioral) EEG effects. Studies were also rated on the risk of bias and quality using validated instruments. Forty-four studies met the inclusion criteria. More consistent findings included lower oddball P3 and higher resting beta at baseline predicting negative outcomes, and abstinence-mediated longitudinal decrease in cue-elicited P3 amplitude and resting beta power. Other findings included abstinence or treatment-related changes in late positive potential (LPP) and N2 amplitudes, as well as in delta and theta power. Existing studies were heterogeneous and limited in terms of specific substances of interest, brief times for follow-ups, and inconsistent or sparse results. Encouragingly, in this limited but maturing literature, many studies demonstrated partial associations of EEG markers with abstinence, treatment outcomes, or pre-post treatment-effects. Studies were generally of good quality in terms of risk of bias. More EEG studies are warranted to better understand abstinence- or treatment-mediated neural changes or to predict SUD treatment outcomes. Future research can benefit from prospective large-sample cohorts and the use of standardized methods such as task batteries. EEG markers elucidating the temporal dynamics of changes in brain function related to abstinence and/or treatment may enable evidence-based planning for more effective and targeted treatments, potentially pre-empting relapse or minimizing negative lifespan effects of SUD.

4‐Fluoroamphetamine (4‐FA) intoxication results in exaggerated blood pressure effects compared to MDMA and amphetamine: A retrospective analysis

Objective

4‐Fluoroamphetamine (4‐FA) is an amphetamine‐type stimulant, with effects comparable to amphetamine and 3,4‐methylenedioxymethamphetamine (MDMA). Severe 4‐FA‐related complications, such as cardiomyopathy, myocardial infarction, and cerebral hemorrhage, have been described. The aim of this study was to explore the cardiovascular symptoms and complications in 4‐FA and compare them to MDMA and amphetamine in intoxicated patients who presented to the emergency department (ED).

Methods

Between November 2015 and March 2020, all self‐reported 4‐FA, MDMA, and amphetamine‐intoxicated adult patients that presented at the ED of an inner‐city hospital in Amsterdam, were retrospectively analyzed for cardiovascular symptoms, vital parameters, cardiovascular complications, interventions, admission rate, and Poisoning Severity Score (PSS).

Results

A total of 582 patients were included, of which 31 (5.3%) with 4‐FA intoxication (10/31 mono‐intoxications, 32.3%), 406 (69.8%) with MDMA (59/406 mono‐intoxications, 14.5%), 100 (17.2%) with amphetamine (10/100 mono‐intoxications, 10.0%), and 45 (7.7%) with a cross intoxication of these drugs. 4‐FA mono‐intoxicated patients experienced more headache (n = 8; 80.0%) compared to MDMA (n = 2; 3.3%; P < 0.001) and amphetamine mono‐intoxicated patients (n = 0; 0.0%; P < 0.001) and their systolic blood pressure was higher (164 mm Hg ± 31 vs 139 mm Hg ± 19; P = 0.031 vs 135 mm Hg ± 22; P = 0.033, respectively). Severe 4‐FA‐related cardiovascular complications included Takotsubo cardiomyopathy (n = 1; 3.2%), subarachnoid hemorrhage (n = 1; 3.2%), and hypertensive urgency (n = 2; 6.5%).

Conclusions

4‐FA intoxication‐related ED symptoms resemble MDMA and amphetamine complications, although patients presented more often with headache and hypertension. Severe 4‐FA‐related cardiovascular complications occurred in 40% of mono‐intoxications.

A mechanistic overview of approaches for the treatment of psychostimulant dependence

Psychostimulant use disorder is a major health issue around the world with enormous individual, family-related and societal consequences, yet there are no effective pharmacological treatments available. In this review, a target-based overview of pharmacological treatments toward psychostimulant addiction will be presented. We will go through therapeutic approaches targeting different aspects of psychostimulant addiction with focus on three major areas; 1) drugs targeting signalling, and metabolism of the dopamine system, 2) drugs targeting either AMPA receptors or metabotropic glutamate receptors of the glutamate system and 3) drugs targeting the severe side-effects of quitting long-term psychostimulant use. For each of these major modes of intervention, findings from pre-clinical studies in rodents to clinical trials in humans will be listed, and future perspectives of the different treatment strategies as well as their potential side-effects will be discussed. Pharmaceuticals modulating the dopamine system, such as antipsychotics, DAT-inhibitors, and disulfiram, have shown some promising results. Cognitive enhancers have been found to increase aspects of behavioural control, and drugs targeting the glutamate system such as modulators of metabotropic glutamate receptors and AMPA receptors have provided interesting changes in relapse behaviour. Furthermore, CRF-antagonists directed toward alleviating the symptoms of the withdrawal stage have been examined with interesting resulting changes in behaviour. There are promising results investigating therapeutics for psychostimulant addiction, but further preclinical work and additional human studies with a more stratified patient selection are needed to prove sufficient evidence of efficacy and tolerability.

Mechanisms of quality-of-life improvement in treatment for alcohol use disorder

OBJECTIVE

For individuals in alcohol use disorder (AUD) treatment, many argue that holistic indicators such as quality of life (QoL) should be more consistently used in addition to drinking-related indicators. QoL increases from pre- to post-AUD treatment, but the mechanisms are unclear. The present study examined the roles of positive and negative affect in QoL change during AUD treatment and additionally explored the relationship between QoL change and medication adherence.

METHOD

We examined the mediating roles of end-of-treatment positive affect (i.e., vigor) and negative affect (i.e., stress and tension) in the relationship between baseline (BL) and 26-week QoL among participants in the Combined Pharmacotherapies and Behavioral Interventions for Alcohol Dependence study randomized to medication management (MM; n = 468) or medication management plus combined behavioral intervention (MMCBI; n = 479) for AUD. We also explored whether changes in QoL were associated with medication adherence.

RESULTS

Change in psychological health QoL was mediated by increased vigor (i.e., positive affect) and decreased stress, and change in environmental QoL was mediated by decreased stress. There were also differences by treatment group, with stress mediating changes in environmental QoL among participants in MM, and vigor mediating changes in psychological health QoL among participants in MMCBI. Medication adherence was not associated with greater QoL after controlling for posttreatment alcohol use.

CONCLUSIONS

The present study identified potential mechanisms of QoL change in AUD treatment, thus contributing to the growing knowledge surrounding alternative indicators of treatment success for AUD treatment and recovery. Targeting affective states and stress during treatment may improve QoL and recovery outcomes for persons with AUD. (PsycInfo Database Record (c) 2022 APA, all rights reserved).

Expanding the continuum of substance use disorder treatment: Nonabstinence approaches

Only a small minority of people with substance use disorders (SUDs) receive treatment. A focus on abstinence is pervasive in SUD treatment, defining success in both research and practice, and punitive measures are often imposed on those who do not abstain. Most adults with SUD do not seek treatment because they do not wish to stop using substances, though many also recognize a need for help. This narrative review considers the need for increased research attention on nonabstinence psychosocial treatment of SUD - especially drug use disorders - as a potential way to engage and retain more people in treatment, to engage people in treatment earlier, and to improve treatment effectiveness. We describe the development of nonabstinence approaches within the historical context of SUD treatment in the United States, review theoretical and empirical rationales for nonabstinence SUD treatment, and review existing models of nonabstinence psychosocial treatment for SUD among adults to identify gaps in the literature and directions for future research. Despite significant empirical support for nonabstinence alcohol interventions, there is a clear gap in research examining nonabstinence psychosocial treatment for drug use disorders. Future research must test the effectiveness of nonabstinence treatments for drug use and address barriers to implementation.

The Temporal Association of Depression and Anxiety in Young Men With Erectile Dysfunction

BACKGROUND

Erectile dysfunction (ED) is a multidimensional sexual disorder that is being increasingly diagnosed in younger men. Although mental illnesses such as depression and anxiety are known risk factors for ED, the association between these conditions and ED has been understudied in young men.

AIM

To explore the temporal association between depression, anxiety, and ED in a population-based cohort of young men.

METHODS

Using 2009-2018 MarketScan Commercial Claims data, we identified all men with ED aged 18-40 years (cases). Using ICD-9/-10 codes and prescription data, we evaluated the prevalence and incidence of depression and anxiety in this cohort. Cases were matched with men without a diagnosis of ED (controls) based on age, Charlson Comorbidity Index, history of hypertension, geographic region, and year of presentation. We examined the prevalence of depression and anxiety within 12 months prior to ED diagnosis and incidence of depression and anxiety up to 36 months after ED diagnosis in cases vs controls. Differences between cases and controls were tested with Wilcoxon rank-sum test for numerical covariates, and chi-square test for categorical covariates. Significance was set at P < .05.

OUTCOMES

Prevalence and incidence of depression and anxiety in young men with and without ED.

RESULTS

Within the 12-month period preceding ED diagnosis, the prevalence of depression and anxiety in cases vs controls were 17.1% vs 12.9%, respectively (P < .001). The incidence of depression and anxiety were higher amongst cases vs controls at 12- (11.7% vs 6.3%), 24- (14.5% vs 9.0%,) and 36- (15.9% vs 10.6%) months following ED diagnosis (P < .001).

CLINICAL IMPLICATIONS

High incidence and prevalence of depression and anxiety in young men diagnosed with ED highlight the importance of normalizing mental health screenings and routine psychiatric follow-up in this population.

STRENGTHS & LIMITATIONS

Our contemporary, case-control study utilizes a population-based cohort of young men with ED to study the temporal association between depression, anxiety, and ED, which is understudied to date. The MarketScan commercial claims database used in this analysis includes men covered by private insurers only and lacks data on symptoms and treatments.

CONCLUSION

Young men with ED had significantly higher rates of depression and anxiety both before and after ED diagnosis in comparison to young men without ED. Manalo TA, Biermann HD, Patil DH, et al. The Temporal Association of Depression and Anxiety in Young Men With Erectile Dysfunction. J Sex Med 2022;19:201-206.

Impact of adolescent methamphetamine use on social cognition: A human-mice reverse translation study

BACKGROUND

Methamphetamine dependence is associated with social cognition deficits that may underpin negative social outcomes. However, there are considerable inter-individual differences in social cognition within people with methamphetamine dependence, with age of onset of methamphetamine use being a potential contributing factor.

MATERIALS AND METHODS

We conducted two sequential studies examining the link between age of onset of methamphetamine use (adolescence versus young adulthood) and performance in social cognition tests: (1) a human cross-sectional study in 95 participants with methamphetamine dependence varying in age of onset (38 with adolescent onset and 57 with adult onset) and 49 drug-naïve controls; (2) a mice study in which we tested the effects of methamphetamine exposure during adolescence versus young adulthood on social interaction and aggression, and their potential neurochemical substrates in the striatal dopaminergic system.

RESULTS

We initially showed that people with methamphetamine dependence who started use in adolescence had higher antisocial beliefs (p = 0.046, Cohen's d=0.42) and worse emotion recognition (p = 0.031, Cohen's d=0.44) than those who started use during adulthood. We reasoned that this could be due to either social cognition deficits leading to earlier onset of methamphetamine use, or methamphetamine-induced neuroadaptive effects specific to adolescence. Mice experiments showed that methamphetamine exposure during adolescence specifically decreased social investigation during social interaction and upregulated striatal tyrosine hydroxylase (p < 0.05, Bonferroni corrected). There was no evidence of adolescent-specific methamphetamine effects on aggression or other measures of dopaminergic function.

CONCLUSION

Together, translational findings demonstrate heightened sensitivity to methamphetamine effects on social cognition during adolescence.

Quality of life during a randomized trial of a therapeutic-workplace intervention for opioid use disorder: Web-based mobile assessments reveal effects of drug abstinence and access to paid work

Background

Employment and improved quality of life (QOL) are, separately, valued outcomes of substance use disorder (SUD) treatment. It is also important to understand QOL changes caused by employment itself; therefore, we assessed QOL during a randomized trial of a contingency-management-based Therapeutic Workplace for people with opioid use disorder.

Methods

For 12 weeks, participants (n = 61) responded to QOL questionnaires in a mobile web app accessed with study-issued smartphones. At enrollment, participants were randomized to work in the Therapeutic Workplace immediately (immediate work group, IWG) or after a 3-week waitlist delay (delayed work group, DWG). Once both groups could work, wage-resetting contingencies were introduced for their opiate- and cocaine-urinalysis. Data were analyzed by (1) access to work with and without contingencies and (2) overall urinalysis-verified opiate- and cocaine-abstinence.

Results

DWG and/or IWG reported improvements in several QOL areas (sleep, transportation, recreation); however, they also reported increased money-related difficulties and less time spent with friends/family. These changes did not coincide with DWG's work access, but some (more sleep, money-related difficulties) coincided with the urinalysis contingencies. Greater opiate- and/or cocaine-abstinence was also associated with several improvements: sleep, paying bills, time spent with friends/family, and exercising. Surprisingly, intermediate cocaine abstinence was associated with reductions in work-capacity satisfaction and recreation.

Conclusions

Participants reported complex QOL differences during their experimental employment and associated with drug abstinence. Future work should help participants address issues that may be relevant to employment generally (e.g., time with friends/family) or contingency management specifically (e.g., money-related issues for non-abstinent participants).

Detecting change in psychiatric functioning in clinical trials for cocaine use disorder: sensitivity of the Addiction Severity Index and Brief Symptom Inventory

BACKGROUND

Assessment instruments commonly used in clinical trials to measure functional outcomes in substance users may lack sensitivity to detect change during treatment, potentially limiting findings regarding benefits of reduced drug use. This study evaluated the sensitivity of the Addiction Severity Index (ASI) to detect change in psychiatric functioning among cocaine users.

METHODS

Data were pooled across five clinical trials for cocaine use disorder (N = 492) that included a 12-week treatment period and 6-month follow-up. Within-person cohen's d' was used to evaluate effect size of change on the Psychiatric Composite Score of the ASI (ASI-Psych) and Global Severity Index (GSI) of the Brief Symptom Inventory, as well as cocaine use.

RESULTS

Effect sizes were larger for GSI than ASI-Psych from baseline to week 12 (GSI d' = 0.59; ASI-Psych d' = 0.16), and 6-month follow-up (GSI d' = 0.48; ASI-Psych d' = 0.10). For those with non-zero ASI-Psych at baseline (n = 252), medium effect sizes were found over the 12-week period (d' = 0.53) and 6-month follow-up (d' = 0.47). Effect sizes for change in days of cocaine use were most similar to GSI in either sample.

CONCLUSIONS

The ASI Psychiatric Composite Score may have limited sensitivity to detect change in psychiatric functioning among clinical trial participants who reduce cocaine use. It may be useful for detecting change amongst those reporting some psychiatric problems at the start of treatment. Future research should consider an instrument's sensitivity to change when assessing the potential functional benefits of reducing cocaine use.

Patterns of reduced use and abstinence in multi-site randomized controlled trials of pharmacotherapies for cocaine and methamphetamine use disorders

BACKGROUND

Many individuals with cocaine or methamphetamine use disorders who enter treatment do not achieve abstinence but reduce their use of the target drug. We aimed to compare change in pattern of drug use (i.e., achieving "abstinence", "reduced use" or no reduction in use) among participants in randomized controlled trials (RCTs) of treatment of cocaine and methamphetamine use disorder, irrespective of the type of treatment.

METHODS

The data were drawn from 10 multi-site pharmacotherapy RCTs of cocaine (n = 1,134) and methamphetamine (n = 555) use disorders. The outcome patterns and their sociodemographic and clinical correlates were compared in cocaine and methamphetamine RCTs, using multinomial logistic regression models. Analyses were adjusted for missing data, clustering within RCTs, socio-demographic and baseline clinical characteristics, and treatment arms.

RESULTS

Those in cocaine RCTs were more likely to experience reduced use compared to participants in methamphetamine RCTs (20.6% vs. 13.2%, respectively), but less likely to experience "abstinence" (7.6% vs. 20.3%; Chi-squared = 14.20, df = 2, P < 0.001). Differences in "abstinence" persisted after adjustment for baseline covariates. Association of sociodemographic and clinical correlates with outcomes differed in cocaine and methamphetamine RCTs.

CONCLUSION

A sizeable proportion of individuals in RCTs of pharmacological treatment for stimulant use disorder who do not attain "abstinence" nevertheless reduce their use. The outcome patterns of drug use are different for cocaine and methamphetamine use disorders and reliance on abstinence as the sole outcome may obscure these differences.

Changes in secondary outcomes associated with brief interventions for problem gambling in methadone patients

BACKGROUND

Patients in methadone maintenance treatment (MMT) with problem gambling (PG) experience worse psychosocial outcomes than their non-PG counterparts. Interventions targeting PG in MMT may enhance psychosocial functioning beyond gambling reduction and abstinence. The present study was a secondary data analysis that examined the trajectories of non-gambling outcomes of three brief PG interventions (i.e., brief psychoeducation, brief advice, motivational enhancement therapy plus cognitive-behavioral therapy [MET + CBT]) among MMT patients.

METHODS

Participants (N = 109) were engaged in substance use disorder treatment, met criteria for PG, and had a current or lifetime history of MMT. Latent growth curve models examined outcome trajectories of psychiatric, medical, legal, employment, and social problems, as well as psychological distress and quality of life. Follow-up analyses examined clinically significant change.

RESULTS

MET + CBT patients reported lower medical problems at baseline and over time than the brief interventions. There was no evidence of differences between interventions on the other outcomes. Psychiatric problems and psychological distress decreased over time for the entire sample, regardless of the PG intervention. About 24% and 13% of the sample demonstrated clinically significant improvements in psychological distress from baseline to 5 months, and 5 months to 12 months, respectively. Nearly 21% of the sample showed clinically significant improvements in psychiatric problems from 5 months to 12 months. Among all patients, men and those with more severe opioid dependence symptoms demonstrated the greatest psychological improvements.

CONCLUSIONS

Many patients in MMT with PG experience improvements in psychological problems, including long-term improvement, regardless of the PG intervention offered.

Using Population Pharmacokinetic Modeling to Estimate Exposure to Δ9-Tetrahydrocannabinol in an Observational Study of Cannabis Smokers in Colorado

BACKGROUND

Self-report questionnaires, weighing products consumed, and Δ9-tetrahydrocannabinol (THC) biomarkers are established techniques for estimating cannabis exposure. Population pharmacokinetic modeling of plasma THC and metabolite concentrations by incorporating self-reported and weighed products as covariates could improve estimates of THC exposure in regular cannabis users.

METHODS

In this naturalistic study, blood samples were obtained from 36 regular smokers of cannabis for analysis of THC and its 2 metabolites at 4 time points: recruitment and during an experimental mobile laboratory assessment that included 3 time points: before, immediately after, and 1 hour after ad libitum legal market flower use. These data were analyzed using an established model of population pharmacokinetics developed from laboratory-controlled cannabis administration data. Elimination and metabolite production clearances were estimated for each subject as well as their daily THC doses and the dose consumed during the ad libitum event.

RESULTS

A statistically significant correlation existed between the daily THC dose estimated by self-report questionnaire and population pharmacokinetic modeling (correlation coefficient = 0.79, P < 0.05) between the weighed cannabis smoked ad libitum and that estimated by population pharmacokinetic modeling (correlation coefficient = 0.71, P < 0.05).

CONCLUSION

Inclusion of self-reported questionnaire data of THC consumption improved pharmacokinetic model-derived estimates based on measured THC and metabolite concentrations. In addition, the pharmacokinetic-derived dose estimates for the ad libitum smoking event underestimated the THC consumption compared with the weighed amount smoked. Thus, the subjects in this study, who smoked ad libitum and used cannabis products with high concentrations of THC, were less efficient (lower bioavailability) compared with computer-paced smokers of low potency, NIDA cannabis in a laboratory setting.

Validating the clinical relevance of alternative stimulant use treatment outcome measures by examining their association with 3-month follow-up outcomes

The lack of a consensus on empirically supported and clinically meaningful outcome measures for stimulant use disorders (SUDs) continues to undermine the development and evaluation of effective behavioral and pharmacological treatment options. The aim of this study was to evaluate the clinical relevance of four stimulant use treatment outcome measures (longest duration of abstinence [LDA], percent of negative urinalysis submitted, abstinent in the last 2 weeks of treatment, and three or more weeks of continuous abstinence) by exploring their utility via association with stimulant and alcohol use, employment and legal problems, and severity of psychiatric symptomatology collected at follow-up. Data used in these secondary analyses came from a multisite randomized contingency management treatment trial for SUDs (n = 441) conducted through the NIDA Clinical Trials Network. Multiple regression analyses were conducted to explore the association of four stimulant use treatment outcome measures and eight 3-month follow-up outcomes. The percent of negative urinalysis outcomes showed the most consistent performance compared to alternative outcomes, being significantly associated with better responses in all eight 3-month follow-up outcomes (β range: -169 to -241, p < .01). Both dichotomous outcome measures showed similar performances being significantly associated with four follow-up outcomes (β range: -159 to -203, p < .01). All outcome measures were consistently associated with better outcome responses at the 3-month follow-up, adding support to their clinical relevance and their adoption in SUD treatment trials. The two dichotomous outcome measures are reliable candidates to be used as endpoint outcomes, as recommended by the U.S. Food and Drug Administration (FDA). (PsycInfo Database Record (c) 2021 APA, all rights reserved).

Long-term efficacy of contingency management treatment based on objective indicators of abstinence from illicit substance use up to 1 year following treatment: A meta-analysis

OBJECTIVE

Contingency management (CM) is often criticized for limited long-term impact. This meta-analysis focused on objective indices of drug use (i.e., urine toxicology) to examine the effects of CM on illicit substance use up to 1 year following treatment.

METHOD

Analyses included randomized trials (k = 23) of CM for stimulant, opioid, or polysubstance use disorders that reported outcomes up to 1 year after the incentive delivery had ended. Using random effects models, odds ratios (OR) were calculated for the likelihood of abstinence. Metaregressions and subgroup analyses explored how parameters of CM treatment, namely escalation, frequency, immediacy, and magnitude of reinforcers, moderated outcomes.

RESULTS

The overall likelihood of abstinence at the long-term follow-up among participants who received CM versus a comparison treatment (nearly half of which were community-based comprehensive therapies or protocol-based specific therapies) was OR = 1.22, 95% confidence interval [1.01, 1.44], with low to moderate heterogeneity (I² = 36.68). Among 18 moderators, longer length of active treatment was found to significantly improve long-term abstinence.

CONCLUSIONS

CM showed long-term benefit in reducing objective indices of drug use, above and beyond other active, evidence-based treatments (e.g., cognitive-behavioral therapy, 12-step facilitation) and community-based intensive outpatient treatment. These data suggest that policymakers and insurers should support and cover costs for CM, which is the focus of hundreds of studies demonstrating its short-term efficacy and, now, additional data supporting its long-term efficacy. (PsycInfo Database Record (c) 2021 APA, all rights reserved).

Prolonged exposure therapy for PTSD among spinal cord injury survivors: Study protocol for a randomized controlled trial

The National Spinal Cord Injury Statistical Center estimates 294,000 people in the US live with a spinal cord injury (SCI), with approximately 17,810 new cases each year. Although the physical outcomes associated with SCI have been widely studied, the psychological consequences of sustaining a SCI remain largely unexplored. Scant research has focused on posttraumatic stress disorder (PTSD) in this population, despite prevalence estimates suggesting that up to 60% of individuals with SCI experience PTSD post-injury, compared to only 7% of the general US population. Fortunately, prolonged exposure therapy (PE) is a well-researched and highly effective treatment for PTSD. However, no trauma focused exposure-based therapy for PTSD (e.g. PE) has not yet been tested in a SCI population. Thus, we aim to conduct the first test of an evidence-based intervention for PTSD among patients with SCI. Adults with SCI and PTSD (N = 60) will be randomly assigned to either: (1) 12-sessions of PE (2-3 sessions per week) or (2) a treatment as usual (TAU) control group who will receive the standard inpatient rehabilitation care for SCI patients. Primary outcomes will be assessed at 0, 6, 10, and 32 weeks.

Mixed-methods trial of a phosphatidylethanol-based contingency management intervention to initiate and maintain alcohol abstinence in formerly homeless adults with alcohol use disorders

Background

Contingency management (CM) is an intervention where incentives are provided in exchange for biochemically confirmed alcohol abstinence. CM is effective at initiating alcohol abstinence, but it is less effective at maintaining long-term abstinence. Phosphatidylethanol (PEth), collected via a finger-stick, can detect alcohol use for 14–28 days. PEth allows for the development of a CM model that includes increasingly less frequent monitoring of abstinence to assist high risk groups, such as formerly homeless individuals, maintain long-term abstinence.

Aims

Investigate whether PEth-based CM intervention targeting alcohol abstinence in formerly homeless, currently housed individuals with alcohol use disorders is: (1) acceptable and feasible for housing program tenants and personnel; and is associated with increased (2) alcohol abstinence and (3) housing tenure.

Methods

Acceptability and feasibility will be assessed using a QUAL+quant mixed-methods design using qualitative interviews and quantitative measures of satisfaction and attrition. Effectiveness will be evaluated through a randomized pilot trial of 50 study participants who will receive 6 months of either treatment as usual (TAU) including incentives (e.g., gift cards) for providing blood samples (Control Condition) or TAU and incentives for negative PEth results (PEth-CM Condition). Outcomes will be assessed during the intervention and at a three-month follow-up visit. The trial will be conducted via telehealth as a result of COVID-19.

Discussion

This protocol seeks to utilize a novel alcohol biomarker to evaluate the acceptability, feasibility, and initial effectiveness of a CM model that encourages long-term abstinence in a high-risk group.

Lack of longitudinal changes in cognition in individuals with methamphetamine use disorder during the first 6 weeks after commencing treatment

Background: Methamphetamine use disorder (MUD) associates with cognitive impulsivity deficits. However, few studies have examined longitudinal changes in cognition, and it remains unclear if deficits resolve during early recovery.Objectives: To compare: (1) cognitive function of individuals with MUD at treatment onset and six-weeks later with controls tested over the same period; (2) cognitive changes in MUD-individuals who remained abstinent versus relapsed.Method: We recruited 108 participants meeting DSM-IV-TR criteria for methamphetamine dependence (81 males) and 50 demographically matched controls (38 males); 77 methamphetamine- dependent participants (59 males) and 48 controls (36 males) were retained at follow-up. We administered response inhibition, delay discounting and uncertainty-based decision-making tests at both endpoints. Relapse was defined as methamphetamine concentrations >0.4 ng/mg at follow-up in hair toxicology.Results: We found a significant time-by-group interaction on uncertainty-based decision-making (effect size: η² = .05), although post-hoc tests to disentangle this interaction yielded inconclusive results (p-range = .14-.40; BF₁₀-range = 0.43-1.67). There were no significant time-by-group interactions on response inhibition or delay discounting, with the former likely a null effect (η²-interaction = .003 and .02; BF_incl = 0.23 and 0.71). There were no significant differences in cognitive recovery between individuals who maintained abstinence (n = 12) versus relapsed (n = 65) (η²-range = .003-.04), although evidence was inconclusive toward whether findings reflected true null effects (BF_incl-range = 0.33-0.75).Conclusion: We did not find evidence that MUD-related cognitive impulsivity deficits improve beyond practice effects over 6 weeks. Findings do not support previous, albeit conflicting, evidence of early recovery of cognitive deficits in MUD.

Long-term functioning to provide empirical support for the clinical relevance of treatment outcomes for methamphetamine use disorders

BACKGROUND

Research has yet to empirically evaluate methamphetamine (MA) use outcome measures commonly used to indicate treatment success. Clinically meaningful outcomes must be associated with long-term functioning in important life domains. This study evaluated the association between different MA use outcomes and long-term life-functioning.

METHOD

The data that this study used in its secondary analyses were pooled from two treatment trials for MA use disorders (n = 237). The study conducted multiple regression analyses (with multiple imputation for missing data) to determine the association of six within-treatment MA use outcome measures with problem severity in seven life domains and a proxy measure for overall functioning, measured with the Addiction Severity Index (ASI) and assessed at an 8-month follow-up.

RESULTS

The longest duration of abstinence (LDA) outcome achieved the most consistent performance, being associated with better scores in five of eight ASI outcomes (β ranging from -0.203 to -0.291; p < .01). The complete abstinence during treatment demonstrated the poorest performance and was not significantly associated with any of the ASI outcomes. All other MA use outcome measures were significantly (p < .01) associated with at least one ASI outcome.

CONCLUSION

This study provides empirical support for the use of LDA as a clinically relevant indicator of treatment success for MA use disorders, while also indicating the limitations of using complete abstinence during treatment to determine treatment success. Based on these findings, providers and researchers should use LDA as a primary outcome for MA use disorder treatments and trials.

Are patients' goals in treatment associated with expected treatment outcomes? Findings from a mixed-methods study on outpatient pharmacological treatment for opioid use disorder

OBJECTIVES

Existing methods of measuring effectiveness of pharmacological treatment for opioid use disorder (OUD) are highly variable. Therefore, understanding patients' treatment goals is an integral part of patient-centred care. Our objective is to explore whether patients' treatment goals align with a frequently used clinical outcome, opioid abstinence.

DESIGN

Triangulation mixed-methods design.

SETTING AND PARTICIPANTS

We collected prospective data from 2030 participants who were receiving methadone or buprenorphine-naloxone treatment for a diagnosis of OUD in order to meet study inclusion criteria. Participants were recruited from 45 centrally-managed outpatient opioid agonist therapy clinics in Ontario, Canada. At study entry, we asked, 'What are your goals in treatment?' and used NVivo software to identify common themes.

PRIMARY OUTCOME MEASURE

Urine drug screens (UDS) were collected for 3 months post-study enrolment in order to identify abstinence versus ongoing opioid use (mean number of UDS over 3 months=12.6, SD=5.3). We used logistic regression to examine the association between treatment goals and opioid abstinence.

RESULTS

Participants had a mean age of 39.2 years (SD=10.7), 44% were women and median duration in treatment was 2.6 years (IQR 5.2). Six overarching goals were identified from patient responses, including 'stop or taper off of treatment' (68%), 'stay or get clean' (37%) and 'live a normal life' (14%). Participants reporting the goal 'stay or get clean' had lower odds of abstinence at 3 months than those who did not report this goal (OR=0.73, 95% CI 0.59 to 0.91, p=0.005). Although the majority of patients wanted to taper off or stop medication, this goal was not associated with opioid abstinence, nor were any of their other goals.

CONCLUSIONS

Patient goals in OUD treatment do not appear to be associated with programme measures of outcome (ie, abstinence from opioids). Future studies are needed to examine outcomes related to patient-reported treatment goals found in our study; pain management, employment, and stopping/tapering treatment should all be explored.

Intelligence quotient decline following frequent or dependent cannabis use in youth: a systematic review and meta-analysis of longitudinal studies

Previous systematic reviews and meta-analyses of cross-sectional data assessing the effect of cannabis on cognitive functioning and intelligence show inconsistent results. We hypothesized that frequent and dependent cannabis use in youth would be associated with Intelligence Quotient (IQ) decline. This study is a systematic review and meta-analysis. We searched Embase, PubMed and PsychInfo from inception to 24 January 2020. We included studies with non-treatment seeking samples and pre- and post-exposure measures of IQ. We requested data from authors if summary data was not available from published work. We preregistered our review with PROSPERO (ID no. CRD42019125624). We found seven cohort studies including 808 cases and 5308 controls. We found a significant effect for the association between frequent or dependent cannabis use in youth and IQ change, Cohen's d = -0.132 (95% CI -0.198 to -0.066) p < 0.001. Statistical heterogeneity between studies was also low at I2 = 0.2%. Study quality was moderate to high. This translates to an average decline of approximately 2 IQ points following exposure to cannabis in youth. Future studies should have longer periods of follow up to assess the magnitude of developmental impact.

Beyond abstinence and relapse: cluster analysis of drug-use patterns during treatment as an outcome measure for clinical trials

RATIONALE

Many people being treated for opioid use disorder continue to use drugs during treatment. This use occurs in patterns that rarely conform to well-defined cycles of abstinence and relapse. Systematic identification and evaluation of these patterns could enhance analysis of clinical trials and provide insight into drug use.

OBJECTIVES

To evaluate such an approach, we analyzed patterns of opioid and cocaine use from three randomized clinical trials of contingency management in methadone-treated participants.

METHODS

Sequences of drug test results were analyzed with unsupervised machine-learning techniques, including hierarchical clustering of categorical results (i.e., whether any samples were positive during each week) and K-means longitudinal clustering of quantitative results (i.e., the proportion positive each week). The sensitivity of cluster membership as an experimental outcome was assessed based on the effects of contingency management. External validation of clusters was based on drug craving and other symptoms of substance use disorder.

RESULTS

In each clinical trial, we identified four clusters of use patterns, which can be described as opioid use, cocaine use, dual use (opioid and cocaine), and partial/complete abstinence. Different clustering techniques produced substantially similar classifications of individual participants, with strong above-chance agreement. Contingency management increased membership in clusters with lower levels of drug use and fewer symptoms of substance use disorder.

CONCLUSIONS

Cluster analysis provides person-level output that is more interpretable and actionable than traditional outcome measures, providing a concrete answer to the question of what clinicians can tell patients about the success rates of new treatments.

Transitions of Women's Substance Use Recovery Networks and 12-Month Sobriety Outcomes

Little is known about how the structure and composition of women's personal social networks (PSNs) combine to support recovery from substance use disorders, how PSNs change during early recovery, or how known covariates such as trauma, co-occurring mental health disorders, or treatment modality impact this relationship. This study used latent profile and transition analyses with 6 recovery-specific PSN indicators in a sample of women in early recovery (N=377) to identify three PSN typologies in relation to abstinence outcomes over 12 months, and track transitions between the typologies at 0-6 and 6-12 months. Women in the Highly Connected type (14.3%) had tightly-knit networks, more sober alters, and fewer treatment-related alters. Women in the Treatment-Related type (49.3%) had looser-knit networks with more sober and sobriety-supporting alters and alters they know from treatment. Women in the At-Risk type (36.3%) had more isolates, few sobriety-supporting alters, and more alters with whom they used. Women in the Treatment-Related Sobriety Support type were significantly more likely to maintain sobriety by 12 months (B=-0.81; OR=2.09, 95% CI [1.23-3.56]) than women in the At Risk type. Higher mean Trauma Symptom Checklist scores were positively related to membership in the At Risk type. The majority of women who transitioned did so by 6 months, with 41.6% transitioning then. Women in the At Risk group had the highest probability of transition (P=0.55). Being in residential treatment (versus outpatient) predicted lower odds of transitioning (B= -0.81, p=.06). This study provides a framework for conducting longitudinal latent variable analysis with social network data, and offers a clinically-useful starting point for research on individualized, targeted, and stage-based interventions for women in recovery.

Improved rates of treatment success following alcohol and other drug treatment among clients who quit or reduce their tobacco smoking

INTRODUCTION AND AIMS

Alcohol and other drug (AOD) treatment seekers who smoke tobacco are more likely to die of tobacco-related causes than those attributable to their primary drug of concern (PDOC), yet smoking cessation is frequently overlooked in the context of AOD treatment settings. We explored rates of AOD treatment success among participants who quit or continued smoking 12 months after initiating AOD treatment.

DESIGN AND METHODS

Secondary analysis of data from a prospective multisite naturalistic outcome study of 559 smokers recruited from 21 publicly funded specialist AOD services as part of the Patient Pathways National Project.

RESULTS

Only 7.1% of participants successfully quit smoking at 12-month follow-up; however, doing so was associated with a 30% increase in treatment success (i.e. reliable reductions in use of their PDOC) (χ² = 8.74, P = 0.003) and a 21% reduction in the severity of PDOC dependence (χ² = 4.559, P = 0.033). Furthermore, those who did not nominate tobacco as a drug of concern reported demographic characteristics indicative of greater social disadvantage.

DISCUSSION AND CONCLUSIONS

Despite low overall rates of smoking cessation, our findings suggest clients who do successfully quit have a greater likelihood of achieving reductions in PDOC use and dependence severity. These results reinforce efforts to promote more comprehensive, routine provision of smoking cessation care (i.e. counselling and nicotine replacement therapy). AOD treatment presents a crucial opportunity to deliver smoking cessation care to all clients who smoke, particularly those who are unconcerned about their use, as this group may stand to benefit most.

Toward Addiction Prediction: An Overview of Cross-Validated Predictive Modeling Findings and Considerations for Future Neuroimaging Research

Substance use is a leading cause of disability and death worldwide. Despite the existence of evidence-based treatments, clinical outcomes are highly variable across individuals, and relapse rates following treatment remain high. Within this context, methods to identify individuals at particular risk for unsuccessful treatment (i.e., limited within-treatment abstinence), or for relapse following treatment, are needed to improve outcomes. Cumulatively, the literature generally supports the hypothesis that individual differences in brain function and structure are linked to differences in treatment outcomes, although anatomical loci and directions of associations have differed across studies. However, this work has almost entirely used methods that may overfit the data, leading to inflated effect size estimates and reduced likelihood of reproducibility in novel clinical samples. In contrast, cross-validated predictive modeling (i.e., machine learning) approaches are designed to overcome limitations of traditional approaches by focusing on individual differences and generalization to novel subjects (i.e., cross-validation), thereby increasing the likelihood of replication and potential translation to novel clinical settings. Here, we review recent studies using these approaches to generate brain-behavior models of treatment outcomes in addictions and provide recommendations for further work using these methods.

Digital Health and Addiction

Digital technologies are rapidly changing how we understand and promote health. A robust and growing line of research has examined how digital health may enhance our understanding and treatment of addiction. This manuscript highlights innovations in the application of digital health approaches to addiction medicine, with a particular emphasis on advances in (1) real-time measurement of drug use events, (2) real-time measurement of the confluence of factors that surround drug use events, and (3) research examining how real-time measurement can inform responsive, in-the-moment interventions to prevent and treat substance use disorder. Although this manuscript focuses on addiction medicine as one exemplar of the striking impact of digital health, science-based digital health offers generalizable solutions to scaling-up unprecedented models of precision healthcare delivery across a broad spectrum of diseases across the globe.

The state of clinical outcome assessments for cannabis use disorder clinical trials: A review and research agenda

There is considerable variability in the use of outcome measures in clinical trials for cannabis use disorder (CUD), and a lack of consensus regarding optimal outcomes may have hindered development and approval of new pharmacotherapies. The goal of this paper is to summarize an evaluation of assessment measures and clinical endpoints for CUD clinical trials, and propose a research agenda and priorities to improve CUD clinical outcome assessments. The primary recommendation is that sustained abstinence from cannabis should not be considered the primary outcome for all CUD clinical trials as it has multiple limitations. However, there are multiple challenges to the development of a reliable and valid indicator of cannabis reduction, including the lack of a standard unit of measure for the various forms of cannabis and products and the limitations of currently available biological and self-report assessments. Development of a core toolkit of assessments is needed to both allow flexibility for study design, while facilitating interpretation of outcomes across trials. Four primary agenda items for future research are identified to expedite development of improved clinical outcome assessments for this toolkit: (1) determine whether minimally invasive biologic assays could identify an acute level of cannabis use associated with psychomotor impairment or other cannabis-related harms; (2) create an indicator of quantity of cannabis use that is consistent across product types; (3) examine the presence of cannabis-specific functional outcomes; and (4) identify an optimal duration to assess changes in CUD diagnostic criteria.

Cognition and addiction

In this targeted review, we summarize current knowledge on substance-use disorder (SUD)-related cognitive deficits, the link between these deficits and clinical outcomes, and the cognitive training, remediation, and pharmacological approaches that have the potential to rescue cognition. We conclude that: (i) people with SUDs have moderate deficits in memory, attention, executive functions, and decision-making (including reward expectancy, valuation, and learning); (ii) deficits in higher-order executive functions and decision-making are significant predictors of relapse; (iii) cognitive training programs targeting reward-related appetitive biases, cognitive remediation strategies targeting goal-based decision-making, and pharmacotherapies targeting memory, attention, and impulsivity have potential to rescue SUD-related cognitive deficits. We suggest avenues for future research, including developing brief, clinically oriented harmonized cognitive testing suites to improve individualized prediction of treatment outcomes; computational modeling that can achieve deep phenotyping of cognitive subtypes likely to respond to different interventions; and phenotype-targeted cognitive, pharmacological, and combined interventions. We conclude with a tentative model of neuroscience-informed precision medicine.


How often are outcomes other than change in substance use measured? A systematic review of outcome measures in contemporary randomised controlled trials

ISSUES

Recovery is a theoretical construct and empirical object of inquiry. The aim was to review whether outcome measures used in randomised controlled trials of drug treatment reflect a comprehensive conceptualisation of recovery.

APPROACH

Systematic review using the following databases: Cochrane Database of Systematic Reviews, Cochrane Controlled Register of Trials, Database of Abstracts of Reviews of Effect, Web of Science, MEDLINE, Embase and PsycINFO. Search returned 6556 original articles and 504 met the following inclusion criteria: randomised controlled trial in English-language peer-reviewed journal; sample meets criteria for drug dependence or drug use disorder; reports non-substance use treatment outcomes. Review protocol registration: PROSPERO (CRD42018090064).

KEY FINDINGS

3.8% of the included studies had a follow up of 2 years or more. Withdrawal/craving was present in 31.1% of short-term versus 0% of long-term studies. Social functioning in 8% of short-term versus 36.8% of long-term studies. Role functioning (0.9 vs. 26.3%), risk behaviour (15.6 vs. 36.8%) and criminality (3.8 vs. 21.1%) followed a similar pattern. Housing was not examined short-term and unregularly long-term (2.0%). 'Use of health-care facilities', clinical psychological, behavioural factors were frequently reported. Physiological or somatic health (15.2 vs. 10.5%), motivation (14.2 vs. 15.8%) and quality of life (7.1 vs. 0%) were less frequently reported.

CONCLUSION

The short time interval of the follow up and lack of information on relevant factors in recovery prevents the development of evidence-based approaches to improve these factors. Particularly, measures of social and role functioning should be added to reflect an adequate conceptualisation of recovery.

A Literature Review Examining Primary Outcomes of Medication Treatment Studies for Opioid Use Disorder: What Outcome Should Be Used to Measure Opioid Treatment Success?

BACKGROUND AND OBJECTIVES

Medications for opioid use disorder (MOUD) reduce opioid use and overdose; however, MOUD clinical trials have used varying primary outcomes to document treatment success. We conducted a literature review to assess and critically examine the methodologies used in MOUD treatment studies.

METHODS

Published studies in English that examined MOUD (buprenorphine, methadone, or extended-release naltrexone) were included (N = 20). The methods and frequencies of measuring primary opioid outcomes, including urine drug tests (UDTs) and self-report of opioid use were compared among studies.

RESULTS

A total of 20 studies fit the inclusion criteria. Each study assessed opioid use; only 12 had opioid use as a primary outcome. Other primary outcomes included retention in treatment (N = 6), and two had other primary outcomes (death and opioid withdrawal symptoms). Opioid use was assessed through both self-report and UDTs in 15 studies. Two studies did not use UDTs. Differences were found in the methods used for how opioid use, retention in treatment, self-report of opioid use, and UDTs were measured.

DISCUSSION AND CONCLUSIONS

The different primary outcomes used and operational definitions in each study make comparisons between studies difficult. The use of both self-report and UDTs for opioid use has several advantages, and if possible, researchers should use both measures.

SCIENTIFIC SIGNIFICANCE

This is the first review critically examining outcome measures from MOUD treatment studies. Creating a standard for opioid treatment outcomes in MOUD studies will allow for generalizable results that can inform both researchers and clinicians to better care for those with OUD. (Am J Addict 2020;00:00-00).

Comparison of timeline follow-back self-report and oral fluid testing to detect substance use in adult primary care patients

BACKGROUND

Timeline Follow-back (TLFB) interviews using self-report are often used to assess substance use. Oral fluid testing (OFT) offers an objective measure of substance use. There are limited data on the agreement between TLFB and OFT.

METHODS

In this secondary analysis from a multisite study in five primary care sites, self-reported TLFB and OFT data collected under confidential conditions were compared to assess concordance (N=1799). OFT samples were analyzed for marijuana, heroin, cocaine, and non-medical use of prescription opioids. Demographic differences in discordance relative to TLFB and OFT concordant results for marijuana, the only substance with an adequate sample size in this analysis, were examined using multinomial logistic regression.

RESULTS

Overall concordance rates between TLFB and OFT were 94.9 % or higher for each substance, driven by large subgroups with no use. Among participants with discordant use, marijuana was the only substance with lower detection on OFT than self-report (27.6 % OFT-positive only vs 32.2 % TLFB-positive only), whereas cocaine (65.6 % vs 8.6 %), prescription opioids (90.4 % vs 6.0 %), and heroin (40.7 % vs 26.0 %) all had higher detection via OFT than TLFB. Participants who reported marijuana use but had a negative OFT were more likely to be younger, Hispanic, and White compared to those with TLFB and OFT concordant positive results.

CONCLUSIONS

TLFB and OFT show disparate detection of different substances. Researchers should consider the implications of using either self-report or oral fluid testing in isolation, depending on the substance and collection setting. Triangulating multiple sources of information may improve detection of drug use.

Cognitive deficits in methamphetamine addiction: Independent contributions of dependence and intelligence

BACKGROUND

Methamphetamine's effects on brain function have been associated with cognitive deficits, which have a negative impact on clinical outcomes. However, it remains unclear if cognitive deficits relate to methamphetamine dependence (potentially amenable to abstinence and retraining) or background characteristics, mental health and other drug use. We tested the association between methamphetamine dependence and cognitive performance, while factoring in the impact of background characteristics, depressive symptoms and tobacco, alcohol and cannabis use.

METHOD

The sample comprised 108 treatment-seeking participants who met the Diagnostic and Statistical Manual of Mental Disorders, Fourth Edition (DSM-IV TR) criteria for methamphetamine dependence and 50 socio-demographically matched controls. We administered a comprehensive neuropsychological test battery (delay discounting, decision making, disinhibition, episodic and working memory) and examined cognitive deficits in methamphetamine users after taking into account socio-demographic characteristics, tobacco, alcohol and cannabis use, and depressive symptoms.

RESULTS

Hierarchical multiple regression analyses showed that methamphetamine dependence was associated with poorer performance in decision-making and disinhibition over and above other predictors, while IQ better explained performance in episodic and working memory. Although duration of methamphetamine use was linked to disinhibition, other patterns of methamphetamine use (including dose and frequency) were not consistently related to performance.

CONCLUSIONS

Methamphetamine dependence impacts inhibitory control and decision-making, whereas lower IQ associates with memory/working memory deficits among methamphetamine users. Findings suggest the need to target disinhibition and impulsive decision-making as part of methamphetamine dependence treatment, while buffering the impact of IQ on memory systems.

The application of digital health to the assessment and treatment of substance use disorders: The past, current, and future role of the National Drug Abuse Treatment Clinical Trials Network

The application of digital technologies to better assess, understand, and treat substance use disorders (SUDs) is a particularly promising and vibrant area of scientific research. The National Drug Abuse Treatment Clinical Trials Network (CTN), launched in 1999 by the U.S. National Institute on Drug Abuse, has supported a growing line of research that leverages digital technologies to glean new insights into SUDs and provide science-based therapeutic tools to a diverse array of persons with SUDs. This manuscript provides an overview of the breadth and impact of research conducted in the realm of digital health within the CTN. This work has included the CTN's efforts to systematically embed digital screeners for SUDs into general medical settings to impact care models across the nation. This work has also included a pivotal multi-site clinical trial conducted on the CTN platform, whose data led to the very first "prescription digital therapeutic" authorized by the U.S. Food and Drug Administration (FDA) for the treatment of SUDs. Further CTN research includes the study of telehealth to increase capacity for science-based SUD treatment in rural and under-resourced communities. In addition, the CTN has supported an assessment of the feasibility of detecting cocaine-taking behavior via smartwatch sensing. And, the CTN has supported the conduct of clinical trials entirely online (including the recruitment of national and hard-to-reach/under-served participant samples online, with remote intervention delivery and data collection). Further, the CTN is supporting innovative work focused on the use of digital health technologies and data analytics to identify digital biomarkers and understand the clinical trajectories of individuals receiving medications for opioid use disorder (OUD). This manuscript concludes by outlining the many potential future opportunities to leverage the unique national CTN research network to scale-up the science on digital health to examine optimal strategies to increase the reach of science-based SUD service delivery models both within and outside of healthcare.

Within-treatment frequency of use versus abstinence as a predictor of longitudinal post-treatment follow-up assessments of drug use

BACKGROUND

Abstinence is a widely-used endpoint in clinical trials of stimulant use disorders. A quantitative measure of frequency of use may be a more sensitive endpoint; however, it is important to establish that it is associated with post-treatment drug use. We examine and compare how within-treatment abstinence and frequency of use are related to two post-treatment longitudinal measures of drug use.

METHODS

For each of three existing stimulant use disorder clinical trial datasets, we examined the association between within-treatment frequency of use (based on urine screens), within-treatment abstinence, and post-treatment follow-up assessments of drug use (urine screens and reported days of use). In joint analyses that simultaneously model the effects of within-treatment abstinence and frequency of use, it is possible to discern their relative importance as predictors of post-treatment drug use during the 12 months following the end of treatment.

RESULTS

Results indicate a quantitative measure of within-treatment frequency of use was associated with longitudinal post-treatment follow-up assessments of drug use. Results from joint analyses of post-treatment follow-up drug use assessed by urine screens suggest that within-treatment frequency of use, rather than abstinence per se, is predictive of post-treatment drug use. However, results from joint analyses of self-report of days of use are equivocal.

CONCLUSION

Results lend support to the use of a quantitative measure of within-treatment drug use as an alternative to complete abstinence. They suggest that some within-treatment use that fall short of complete abstinence may potentially represent clinically important improvements given their association with post-treatment drug use.

[Differences in the success rates of inpatient therapy for alcohol and illegal drug abusers. A Replication Study]

INTRODUCTION

Irrespective of the type of psychotherapy used, the abstinence-oriented treatment of drug abusers is less successful than that for alcohol abusers. If, on the other hand, the two groups are parallelized in such a way that the patients are identical with respect to the five characteristics of gender, age, schooling, work situation and partner situation, then there is no difference between the success rates of the drug and alcohol abusers. The aim of this study is to determine whether this result can be replicated in another therapeutic institution.

METHOD

Retrospective field study of 320 abusers of illegal drugs and 320 alcohol abusers who were treated with behaviour therapy. By combining the binary characteristics gender, work situation and age, the drug-dependent patients were divided into 2³=8 groups, and the same number of alcohol abusers were randomly selected for each group. The scheduled period of inpatient treatment was 90 days for the alcohol abusers and 120 days for the drug abusers. Every week the patients had one session of individual psychotherapy and four to five group therapy sessions. According to the indications, the certified behaviour therapists implemented the following interventions including behaviour analysis, relapse prevention, cognitive therapy, self-management and behavioural family therapy. Comparison of the success rates was carried out using the Chi² test, and changes in the psychological findings were tested with one-way variance analysis.

RESULTS

There was no difference between drug and alcohol abusers with respect to the rate of therapy termination according to plan (around 80%). A total of 48% of the drug abusers and 41 % of the alcohol abusers who could be followed up had been continuously abstinent at the one-year catamnesis without a single relapse. There were also no differences between the two groups when it was assumed that the patients who could not be followed up had relapsed. In the case of both the drug and alcohol abusers the abstinence rate was highest in over-29-year-old employed men (57.6%; 48.4%). The abstinence rate was lowest in employed female drug abusers (27.8%) and young, unemployed female drug abusers (0%, n=11).

DISCUSSION

What appears to influence the abstinence rate after inpatient treatment is not only the type of substance consumed but also sociodemographic characteristics. In addition to individually tailored therapy, our results confirm the importance of a highly differentiated presentation of the outcomes of therapy in the specialist literature. An average rate of abstinence (e.g. 30%) is insufficient to evaluate an intervention unless information is also provided about the patients for which the intervention is suitable and those for which it is not. In accordance with the Reproducibility Project, we consider replication studies essential in psychotherapy, even though in practice the considerable methodical requirements can only be partially fulfilled.