A comparison of four telephone-based counseling styles for recovering stimulant users

The ASAM/AAAP Clinical Practice Guideline on the Management of Stimulant Use Disorder

The American Society of Addiction Medicine/American Academy of Addiction Psychiatry (ASAM/AAAP) Clinical Practice Guideline on the Management of Stimulant Use Disorder provides guidance on evidence-based strategies for the treatment of stimulant use disorders (StUDs), stimulant intoxication, and stimulant withdrawal, as well as secondary and tertiary prevention of harms associated with stimulant use. The Clinical Guideline Committee (CGC) comprised experts from ASAM and AAAP representing a range of clinical settings and patient populations. The guideline was developed following modified GRADE methodology. The process included a systematic literature review as well as several targeted supplemental searches. The CGC utilized Evidence to Decision tables to review available evidence and rate the strength of each recommendation. The clinical practice guideline was revised based on external stakeholder review. Key takeaways included: Contingency management represents the current standard of care for treatment of StUDs; Pharmacotherapies may be utilized off-label to treat StUDs; Acute stimulant intoxication can result in life-threatening complications that should be addressed in an appropriate level of care; Secondary and tertiary prevention strategies should be used to reduce harms related to risky stimulant use.

Methamphetamine use and technology-mediated psychosocial interventions: A mini-review

Engagement with face-to-face psychosocial interventions is often compromised in people using methamphetamine (MA), in the context of high rates of polysubstance use, mental health disorders, cognitive impairment and geographic isolation. Technology-mediated interventions offer flexible ways of engaging with treatment and are readily accessible. This mini-review evaluates evidence from eight studies for the effectiveness of telephone, mHealth (text-messaging and apps) and computer-based interventions for MA use. Two papers from one telephone counselling study showed a small improvement in MA-related outcomes, particularly for individuals in active use. However, a directive counselling style was associated with a higher likelihood of MA use during recovery for those higher in resistance to authority. Text-messaging interventions generally showed small but significant reductions in MA use in non-treatment seekers. When compared, there was no significant difference in level of MA use reduction between interactive, automated and self-monitoring text messages. Studies in other modalities (smartphone app, one trial; computer-based interventions, two trials) did not confer statistically significant reductions in MA use, though were likely impacted by app design and participant characteristics. Preliminary findings hint at the potential effectiveness of telephone counselling in aftercare and the capacity for text-messaging to reach those who are not in treatment. Given the small amount of existing literature, this review discusses the potential value of emerging interventions, the importance of adapting interventions to the characteristics of people who use MA and suggests specific directions for research in each technology modality.

Automated telephone communication systems for preventive healthcare and management of long-term conditions

BACKGROUND

Automated telephone communication systems (ATCS) can deliver voice messages and collect health-related information from patients using either their telephone's touch-tone keypad or voice recognition software. ATCS can supplement or replace telephone contact between health professionals and patients. There are four different types of ATCS: unidirectional (one-way, non-interactive voice communication), interactive voice response (IVR) systems, ATCS with additional functions such as access to an expert to request advice (ATCS Plus) and multimodal ATCS, where the calls are delivered as part of a multicomponent intervention.

OBJECTIVES

To assess the effects of ATCS for preventing disease and managing long-term conditions on behavioural change, clinical, process, cognitive, patient-centred and adverse outcomes.

SEARCH METHODS

We searched 10 electronic databases (the Cochrane Central Register of Controlled Trials; MEDLINE; Embase; PsycINFO; CINAHL; Global Health; WHOLIS; LILACS; Web of Science; and ASSIA); three grey literature sources (Dissertation Abstracts, Index to Theses, Australasian Digital Theses); and two trial registries (www.controlled-trials.com; www.clinicaltrials.gov) for papers published between 1980 and June 2015.

SELECTION CRITERIA

Randomised, cluster- and quasi-randomised trials, interrupted time series and controlled before-and-after studies comparing ATCS interventions, with any control or another ATCS type were eligible for inclusion. Studies in all settings, for all consumers/carers, in any preventive healthcare or long term condition management role were eligible.

DATA COLLECTION AND ANALYSIS

We used standard Cochrane methods to select and extract data and to appraise eligible studies.

MAIN RESULTS

We included 132 trials (N = 4,669,689). Studies spanned across several clinical areas, assessing many comparisons based on evaluation of different ATCS types and variable comparison groups. Forty-one studies evaluated ATCS for delivering preventive healthcare, 84 for managing long-term conditions, and seven studies for appointment reminders. We downgraded our certainty in the evidence primarily because of the risk of bias for many outcomes. We judged the risk of bias arising from allocation processes to be low for just over half the studies and unclear for the remainder. We considered most studies to be at unclear risk of performance or detection bias due to blinding, while only 16% of studies were at low risk. We generally judged the risk of bias due to missing data and selective outcome reporting to be unclear.For preventive healthcare, ATCS (ATCS Plus, IVR, unidirectional) probably increase immunisation uptake in children (risk ratio (RR) 1.25, 95% confidence interval (CI) 1.18 to 1.32; 5 studies, N = 10,454; moderate certainty) and to a lesser extent in adolescents (RR 1.06, 95% CI 1.02 to 1.11; 2 studies, N = 5725; moderate certainty). The effects of ATCS in adults are unclear (RR 2.18, 95% CI 0.53 to 9.02; 2 studies, N = 1743; very low certainty).For screening, multimodal ATCS increase uptake of screening for breast cancer (RR 2.17, 95% CI 1.55 to 3.04; 2 studies, N = 462; high certainty) and colorectal cancer (CRC) (RR 2.19, 95% CI 1.88 to 2.55; 3 studies, N = 1013; high certainty) versus usual care. It may also increase osteoporosis screening. ATCS Plus interventions probably slightly increase cervical cancer screening (moderate certainty), but effects on osteoporosis screening are uncertain. IVR systems probably increase CRC screening at 6 months (RR 1.36, 95% CI 1.25 to 1.48; 2 studies, N = 16,915; moderate certainty) but not at 9 to 12 months, with probably little or no effect of IVR (RR 1.05, 95% CI 0.99, 1.11; 2 studies, 2599 participants; moderate certainty) or unidirectional ATCS on breast cancer screening.Appointment reminders delivered through IVR or unidirectional ATCS may improve attendance rates compared with no calls (low certainty). For long-term management, medication or laboratory test adherence provided the most general evidence across conditions (25 studies, data not combined). Multimodal ATCS versus usual care showed conflicting effects (positive and uncertain) on medication adherence. ATCS Plus probably slightly (versus control; moderate certainty) or probably (versus usual care; moderate certainty) improves medication adherence but may have little effect on adherence to tests (versus control). IVR probably slightly improves medication adherence versus control (moderate certainty). Compared with usual care, IVR probably improves test adherence and slightly increases medication adherence up to six months but has little or no effect at longer time points (moderate certainty). Unidirectional ATCS, compared with control, may have little effect or slightly improve medication adherence (low certainty). The evidence suggested little or no consistent effect of any ATCS type on clinical outcomes (blood pressure control, blood lipids, asthma control, therapeutic coverage) related to adherence, but only a small number of studies contributed clinical outcome data.The above results focus on areas with the most general findings across conditions. In condition-specific areas, the effects of ATCS varied, including by the type of ATCS intervention in use.Multimodal ATCS probably decrease both cancer pain and chronic pain as well as depression (moderate certainty), but other ATCS types were less effective. Depending on the type of intervention, ATCS may have small effects on outcomes for physical activity, weight management, alcohol consumption, and diabetes mellitus. ATCS have little or no effect on outcomes related to heart failure, hypertension, mental health or smoking cessation, and there is insufficient evidence to determine their effects for preventing alcohol/substance misuse or managing illicit drug addiction, asthma, chronic obstructive pulmonary disease, HIV/AIDS, hypercholesterolaemia, obstructive sleep apnoea, spinal cord dysfunction or psychological stress in carers.Only four trials (3%) reported adverse events, and it was unclear whether these were related to the interventions.

AUTHORS' CONCLUSIONS

ATCS interventions can change patients' health behaviours, improve clinical outcomes and increase healthcare uptake with positive effects in several important areas including immunisation, screening, appointment attendance, and adherence to medications or tests. The decision to integrate ATCS interventions in routine healthcare delivery should reflect variations in the certainty of the evidence available and the size of effects across different conditions, together with the varied nature of ATCS interventions assessed. Future research should investigate both the content of ATCS interventions and the mode of delivery; users' experiences, particularly with regard to acceptability; and clarify which ATCS types are most effective and cost-effective.

The effectiveness of telephone counselling in the treatment of illicit drug and alcohol use concerns

INTRODUCTION

Technology-assisted substance use interventions such as 'high-tech' internet-based treatments are thought to be effective; however, the relatively 'low-tech' use of telephone counselling does not yet have an established evidence base. This paper reviews the literature including articles with information on the use of telephone counselling for the treatment of illicit drug or alcohol use.

METHODS

A systematic literature search using a set of telephone counselling and substance-related terms was conducted across four electronic databases. English studies prior to June 2014 that involved the use of telephone counselling with the treatment of illicit drug or alcohol use as a primary or secondary outcome were included. Review papers, opinion pieces, letters or editorials, case studies, published abstracts, and posters were excluded. In all, 94 publications were included in the review.

RESULTS AND DISCUSSION

The literature was supportive of telephone counselling for the treatment of alcohol use in the short term; however, literature regarding illicit drug use was particularly scarce. The generalisability of findings was limited by evident methodological issues in the included studies.

Who benefits from additional drug counseling among prescription opioid-dependent patients receiving buprenorphine-naloxone and standard medical management?

BACKGROUND

In the multi-site Prescription Opioid Addiction Treatment Study (POATS), conducted within the National Drug Abuse Clinical Trials Network, participants randomly assigned to receive individual drug counseling in addition to buprenorphine-naloxone and medical management did not have superior opioid use outcomes. However, research with other substance-dependent populations shows that subgroups of participants may benefit from a treatment although the entire population does not.

METHOD

We conducted a secondary analysis of POATS data to determine whether a subgroup of participants benefited from drug counseling in addition to buprenorphine-naloxone and medical management, either due to greater problem severity or more exposure to counseling as a result of greater treatment adherence. Problem severity was measured by a history of heroin use, higher Addiction Severity Index drug composite score, and chronic pain. Adequate treatment adherence was defined a priori as attending at least 60% of all offered sessions.

RESULTS

Patients who had ever used heroin and received drug counseling were more likely to be successful (i.e., abstinent or nearly abstinent from opioids) than heroin users who received medical management alone, but only if they were adherent to treatment and thus received adequate exposure to counseling (OR=3.7, 95% CI=1.1-11.8, p=0.03). The association between severity and outcome did not vary by treatment condition for chronic pain or ASI drug severity score.

CONCLUSIONS

These findings emphasize the importance of treatment adherence, and suggest that patients with prescription opioid dependence are a heterogeneous group, with different optimal treatment strategies for different subgroups.

The Use of New Communications Technologies to Evaluate and Intervene in Substance Use Disorders

The widespread availability of high speed, mobile cellular telephones and other advances in communication technology have the potential to change the way that interventions for substance use disorders (SUD) are delivered and how progress is monitored. This article reviews recent research on the use of new technology to monitor progress and deliver interventions for SUD. Several studies of telephone-based interventions show positive effects, but sometimes only in certain subgroups. However, other studies produced negative results. Studies support the use of interactive voice response (IVR) and personal digital assistants (PDAs) to conduct assessments, but there is little data on whether IVR- or PDA-based interventions improve outcomes. Text messaging has received comparatively little research, but appears promising as a means to conduct assessments and deliver automated interventions. Finally, smartphone technology provides the widest range of features and interventions and the greatest flexibility, but few intervention studies that use them have been conducted.

Recovery Support for Adolescents with Substance use Disorders: The Impact of Recovery Support Telephone Calls Provided by Pre-Professional Volunteers

The present quasi-experiment examined the direct and indirect effects of recovery support telephone calls following adolescent substance use disorder treatment. Six-month outcome data from 202 adolescents who had received recovery support calls from primarily pre-professional (i.e., college-level social service students) volunteers was compared to 6-month outcome data from a matched comparison sample of adolescents (n = 404). Results suggested adolescents in the recovery support sample had significantly greater reductions in their recovery environment risk relative to the comparison sample (β = -.17). Path analysis also suggested that the reduction in recovery environment risk produced by recovery support calls had indirect impacts (via recovery environment risk) on reductions in social risk (β = .22), substance use (β = .23), and substance-related problems (β = .16). Finally, moderation analyses suggested the effects of recovery support calls did not differ by gender, but were significantly greater for adolescents with lower levels of treatment readiness. In addition to providing rare empirical support for the effectiveness of recovery support services, an important contribution of this study is that it provides evidence that recovery support services do not necessarily have to be "peer-based," at least in terms of the recovery support service provider having the experiential credentials of being "in recovery." If replicated, this latter finding may have particularly important implications for helping increase the recovery support workforce.

An analysis of relapse prevention factors and their ability to predict sustained abstinence following treatment completion

BACKGROUND & OBJECTIVES

This study assessed the role of 14 specific relapse-prevention activities and their underlying factors in maintaining abstinence among subjects (N = 302) completing outpatient treatment for stimulant dependence.

METHODS

We examined what broader dimensions might subsume the 14 items constituting the Drug Avoidance Activities checklist (Farabee et al. J Subst Abuse Treat 2002;23:343-350), and how well these derived factors predicted concurrent drug use at baseline and again 3 and 12 months later.

RESULTS

Although four factors were identified consistently for the three time points, only avoidance strategies had sufficient internal consistency to be retained for further analysis. Controlling for age, gender, and ethnicity, the avoidance subscale was a significant predictor of UA results at all time periods: a one-point increase in the avoidance strategies scale was associated with an 86% increase in odds of a negative UA at baseline (OR = 1.86, 95% CI = 1.37-2.53, p < .001), a 77% increase at 3-month follow-up (OR = 1.77, CI = 1.37-2.29, p < .001), and a 37% increase at 12-month follow-up (OR = 1.37, CI = 1.04-1.81, p = .026).

CONCLUSIONS

Although correlations of individual items with UA results showed statistically significant (p < .05) results for 8 of 14 items at one or more observation points, avoidance-related behaviors showed the strongest associations with sustained abstinence.

Patient reactance moderates the effect of directive telephone counseling for methamphetamine users

OBJECTIVE

This study examined the impact of the interaction between patient reactance and treatment directiveness on the effectiveness of telephone aftercare for methamphetamine dependence.

METHOD

Reactance was assessed at baseline, and participants were randomly assigned to directive or nondirective treatment conditions. Logistic regression tested for the significance of the interaction as a predictor of 3-month and 12-month use of methamphetamine and stimulants.

RESULTS

A significant interaction was observed at the 3-month follow-up, in which the directive condition was less effective for patients higher in reactance and was more effective for patients lower in reactance. Among patients at a high level of reactance, the nondirective condition increased the likelihood of abstinence.

CONCLUSIONS

This study suggests that, in the context of telephone-based care, directive interventions offer short-term clinical benefit for methamphetamine users who readily accept influence from authority figures, whereas nondirective interventions offer benefit for patients who do not readily accept influence. The short-term nature of these effects indicates that there is a need for brief but ongoing telephone support to maintain treatment gains.