Elsevier

Drug and Alcohol Dependence

Volume 148, 1 March 2015, Pages 77-84
Drug and Alcohol Dependence

Transdermal alcohol concentration data collected during a contingency management program to reduce at-risk drinking

https://doi.org/10.1016/j.drugalcdep.2014.12.021Get rights and content

Highlights

  • Financial reinforcement for reduced heavy drinking was successful for 12 weeks.

  • Contingencies based on transdermal alcohol concentration increased the number of no drinking days in heavy drinkers.

  • Heavy drinking was reduced in non-treatment-seeking heavy drinkers.

  • Transdermal alcohol monitoring has utility in contingency management procedures.

Abstract

Background

Recently, we demonstrated that transdermal alcohol monitors could be used in a contingency management procedure to reduce problematic drinking; the frequency of self-reported heavy/moderate drinking days decreased and days of no to low drinking increased. These effects persisted for three months after intervention. In the current report, we used the transdermal alcohol concentration (TAC) data collected prior to and during the contingency management procedure to provide a detailed characterization of objectively measured alcohol use.

Methods

Drinkers (n = 80) who frequently engaged in risky drinking behaviors were recruited and participated in three study phases: a 4-week Observation phase where participants drank as usual; a 12-week Contingency Management phase where participants received $50 each week when TAC did not exceed 0.03 g/dl; and a 3-month Follow-up phase where self-reported alcohol consumption was monitored. Transdermal monitors were worn during the first two phases, where each week they recived $105 for visiting the clinic and wearing the monitor. Outcomes focused on using TAC data to objectively characterize drinking and were used to classify drinking levels as either no, low, moderate, or heavy drinking as a function of weeks and day of week.

Results

Compared to the Observation phase, TAC data indicated that episodes of heavy drinking days during the Contingency Management phase were reduced and episodes of no drinking and low to moderate drinking increased.

Conclusions

These results lend further support for linking transdermal alcohol monitoring with contingency management interventions. Collectively, studies to date indicate that interventions like these may be useful for both abstinence and moderation-based programs.

Introduction

Recent advances in technology have improved the ability to objectively monitor alcohol use. Transdermal alcohol monitoring devices such as the Secure Continuous Remote Alcohol Monitor [SCRAM-II™, Alcohol Monitoring Systems Inc. (AMS), Highlands Ranch, CO] provide a real-time measure (every 30 min, 24 h a day) of alcohol excreted through the skin (Swift, 2000, Swift, 2003). This transdermal alcohol concentration (TAC) data can then be used to estimate both breath alcohol levels and quantity of alcohol consumed as well as identify patterns of alcohol consumption (Dougherty et al., 2012, Hill-Kapturczak et al., 2015).

Recent research has sought to test the feasibility and effectiveness of using transdermal alcohol monitors in contingency management interventions to reduce or eliminate alcohol consumption (Barnett et al., 2011, Dougherty et al., 2014a). Contingency management interventions are based on operant conditioning principles whereby individuals receive reinforcers (e.g., money or vouchers) when treatment goals such as abstinence or moderation of substance use are achieved (Higgins et al., 1994, Stitzer et al., 1980, Stitzer and Petry, 2006). This approach has been shown to be an effective intervention for a variety of substances (reviewed in Prendergast et al., 2006, Roll et al., 2006). Because contingency management requires the use of real and important consequences to reinforce abstinence or reduced drug use, it requires an objective measure of drug use that will be unbiased by self-report and identify levels of drinking. With other drugs of abuse (e.g., cocaine, opaites, marijuana), contingency management interventions have been possible through the use of urine-drug screen testing (Markway and Baker, 2011). In contrast to other drugs of abuse, biological markers for identifying alcohol use are not as straightforward for the use of financial contingencies.

Current alcohol use detection methods are typically a combination of self-report and alcohol use biomarkers. Self-reported alcohol use often underestimates drinking in real-world settings due to memory impairment, poor insight, or an unwillingness to self-report (de Visser and Birch, 2012, Devos-Comby and Lange, 2008, Kerr and Stockwell, 2012, May and Gossage, 2011, Sobell and Sobell, 2003, White et al., 2003). In the context of contingency management, financial motivation would be expected to make self-report especially vulnerable to inaccurate under-reporting of drinking. Clinical interventions often rely on self-report measures, but there is a definite move toward and increased reliance upon other alcohol use biomarkers (e.g., Anton et al., 2002, Kranzler et al., 2004, Mann et al., 2013, Pettinati et al., 2010) to objectively detect alcohol use.

However, biomarkers can be unreliable indicators of alcohol use. For example, non-specific alcohol use markers [e.g., γ-glutamyltransferase (GGT) or carbohydrate deficient transferrin (CDT)] measured in blood have long half-lives (weeks to months), but they are only reliable at detecting heavy drinking and may provide false positive results (reviewed in Javors and Johnson, 2003, Maenhout et al., 2013, Muñiz-Hernández et al., 2014)]. For example, increased serum GGT or CDT levels can occur in conditions not related to alcohol use. In the case of GGT, these conditions include obesity, diabetes, hypertension, hypertriglyceridemia, and non-alcoholic liver disease (reviewed in Muñiz-Hernández et al., 2014). In the case of CDT alternative causes for increases include phosphomannose isomerase deficiency, genetic transferrin variants, untreated galactosemia, hereditary fructose intolerance, and pregnancy (reviewed in Helander et al., 2014). In contrast, direct markers (e.g., ethanol or the ethanol metabolites ethyl-glucuronide and phosphatidylethanol) while specific for alcohol, have shorter half-lives (hours to weeks) which limit the window of detection (reviewed in Javors and Johnson, 2003, Maenhout et al., 2013). However, transdermal alcohol monitoring provides a continuous, objective measure of alcohol use which has the ability to detect different levels of drinking (i.e., no, low, moderate, and heavy; Dougherty et al., 2014a). As such, transdermal alcohol monitoring offers a new level of analysis for interventional studies and may even be used in the intervention itself. With the development of minimally invasive transdermal alcohol monitoring procedures, contingency management has only recently been validated as a possible intervention to moderate or control alcohol consumption.

There have been two preliminary studies that have used transdermal alcohol monitoring to implement contingency management designed to reduce alcohol use (Barnett et al., 2011, Dougherty et al., 2014a). The first study, conducted by Barnett and colleagues (2011), used transdermal alcohol monitors in a 2-week contingency management intervention to achieve abstinence. They demonstrated that financial contingencies did reduce the frequency of heavy drinking among a small sample of heavy drinkers (n = 13) across a 2-week period. However, these reductions were achieved primarily through increased abstinence and there was no evidence for reduced levels of drinking when drinking occurred. In the second study, we (Dougherty et al., 2014a) used transdermal alcohol monitors in an 8-week contingency management intervention designed to moderate alcohol consumption among a group of non-treatment seeking drinkers (n = 26) who frequently engaged in at-risk drinking (as defined by NIAAA, 2010). Instead of using an abstinence criteria, our study used transdermal alcohol monitoring to reinforce lower-level or less harmful patterns of drinking. More specifically, the contingency intervention provided monetary incentives each week when transdermal alcohol concentrations did not exceed 0.03 g/dl (i.e., approximately one or two standard drinks) on any day of the week. Not only did participants decrease their frequency of any drinking, but the amount of alcohol consumed per drinking episode also decreased – most importantly, this included reductions in heavy weekend binge drinking. During the course of this latter study, it became apparent that transdermal alcohol monitors can be used not only to dichotomously define whether or not any drinking occurred, but also to characterize levels of consumption defined as no, low, moderate, or heavy drinking. Together, these two preliminary studies indicate that transdermal alcohol monitors can be used to contingently reduce drinking, but also to moderate the amount of alcohol use.

More recently, we have shown in a 12-week contingency management study that self-reported problematic levels of drinking could be reduced to safer levels among a large group (n = 80) of at-risk heavy drinkers (Dougherty et al., 2014b). That publication focused on the self-reported drinking observed using standard calendar-based methods of Timeline Followback interview (Sobell and Sobell, 1992). However, the contingency was actually implemented using TAC readings to reinforce non-heavy drinking patterns; it is important to understand exactly what the strictly objective observations of TAC data will tell us about drinking behavior. The present report now presents the completed analyses of the TAC outcome data collected during the study. Specifically, we use the TAC data collected during transdermal alcohol monitoring to objectively characterize the patterns of alcohol use (no, low, moderate, and heavy drinking days) during the 4-week observation phase that preceded contingency management and then throughout the 12-week contingency management phase.

Section snippets

Participants and criteria

Eighty-two adults were recruited from the community using newspaper, radio, and television advertisements. Potentially eligible participants were identified using a brief phone interview and came into the clinic for a more in-depth screening. This screening procedure included a substance use history, psychiatric assessment (Structured Clinical Interview for DSM-IV-TR Axis I Disorders; First et al., 2001), intelligence testing (Wechsler Abbreviated Scale of Intelligence; Weschler, 1999),

Participant characteristics

As previously reported (Dougherty et al., 2014b), men (n = 50) and women (n = 30) did not differ in age (29.96 ± 8.57 and 30.60 ± 8.70, respectively), body mass index (29.96 ± 3.23 and 26.51 ± 4.47, respectively), drinks per drinking day (7.98 ± 2.98 and 6.49 ± 2.76, respectively) or their at-risk drinking days (men consuming >4 and women >3 alcoholic drinks; 10.30 ± 4.70 and 10.17 ± 5.63, respectively). Participants were largely Hispanic or Latino (men = 52%, women = 80%).

Percent of participants maintaining TAC < 0.03 g/dl per week

Fig. 1 shows the percentage of participants

Discussion

The current report provides a detailed characterization of alcohol use observed by objectively-measured TAC data collected during a contingency management procedure which financially reinforced subjects for maintaining low TAC levels (<0.03 g/dl) each day throughout each week over a 12-week contingency period. We found that compared to baseline, the contingency increased the likelihood that participants were able to keep their TAC levels below 0.03 g/dl each day throughout each week over a

Role of funding source

Research reported in this publication was supported by the National Institute on Alcohol Abuse and Alcoholism of the National Institutes of Health [R01AA14988 to Donald Dougherty]. The research was also supported in part by the National Institute of Drug Abuse [T32DA031115 to Charles France] for postdoctoral training for Dr. Karns and Dr. Lake. The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institutes of Health. Dr.

Contributors

All authors significantly contributed to this manuscript and have read and approved the final manuscript.

Conflicts of interest

None of the authors have conflicting interests concerning this manuscript.

Acknowledgements

The authors appreciate the supportive functions performed for by our valued colleagues: Sharon Cates, Cameron Hunt, Krystal Shilling, and Phillip Brink.

References (59)

  • T.M. Maenhout et al.

    Non-oxidative ethanol metabolites as a measure of alcohol intake

    Clin. Chim. Acta

    (2013)
  • K. Mann et al.

    Extending the treatment options in alcohol dependence: a randomized controlled study of as-needed nalmefene

    Biol. Psychiatry

    (2013)
  • G.A. Marlatt et al.

    Harm reduction approaches to alcohol use: health promotion, prevention, and treatment

    Addict. Behav.

    (2002)
  • H. Rosenberg et al.

    Differences in the acceptability of non-abstinence goals by type of drug among American substance abuse clinicians

    J. Subst. Abuse Treat.

    (2014)
  • S.J. Adamson et al.

    Initial preference for drinking goal in the treatment of alcohol problems: II. Treatment outcomes

    Alcohol Alcohol.

    (2010)
  • S.J. Adamson et al.

    Drinking goal selection and treatment outcome in out-patients with mild-moderate alcohol dependence

    Drug Alcohol Rev.

    (2001)
  • R.F. Anton et al.

    Carbohydrate-deficient transferrin and gamma-glutamyltransferase for the detection and monitoring of alcohol use: results from a multisite study

    Alcohol. Clin. Exp. Res.

    (2002)
  • N.P. Barnett et al.

    Predictors of detection of alcohol use episodes using a transdermal alcohol sensor

    Exp. Clin. Psychopharmacol.

    (2014)
  • K.S. DeMartini et al.

    Predictors of pretreatment commitment to abstinence: results from the COMBINE study

    J. Stud. Alcohol Drugs

    (2014)
  • R.O. de Visser et al.

    My cup runneth over: young people's lack of knowledge of low-risk drinking guidelines

    Drug Alcohol Rev.

    (2012)
  • L. Devos-Comby et al.

    Standardized measures of alcohol-related problems: a review of their use among college students

    Psychol. Addict. Behav.

    (2008)
  • D.M. Dougherty et al.

    Comparing the detection of transdermal and breath alcohol concentrations during periods of alcohol consumption ranging from moderate drinking to binge drinking

    Exp. Clin. Psychopharmacol.

    (2012)
  • D.M. Dougherty et al.

    Using contingency management procedures to reduce at-risk drinking in heavy drinkers

    Alcohol. Clin. Exp. Res.

    (2014)
  • J.L. Engasser et al.

    Drinking goal choice and outcomes in a web-based alcohol intervention: results from VetChange

    Addict. Behav.

    (2015)
  • A.K. Finlay et al.

    Leisure activities, the social weekend, and alcohol use: evidence from a daily study of firsty-year college students

    J. Stud. Alcohol Drugs

    (2012)
  • M.B. First et al.

    Structured Clinical Interview for DSM-IV-TR Axis I Disorders, Research Version, Non-patient Edition (SCID-I/NP)

    (2001)
  • O. Garcia-Rodriguez et al.

    Effects of voucher-based intervention on abstinence and retention in an outpatient treatment for cocaine addiction: a randomized controlled trial

    Exp. Clin. Psychopharmacol.

    (2009)
  • P.S. Haines et al.

    Weekend eating in the United States is linked with greater energy, fat, and alcohol intake

    Obesity Res.

    (2003)
  • N. Heather et al.

    Initial preference for drinking goal in the treatment of alcohol problems: I. Baseline differences between abstinence and non-abstinence groups

    Alcohol Alcohol.

    (2010)
  • Cited by (0)

    View full text