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Brown, Sandra A.; Carrello, Patrice D.; Vik, Peter W.; Porter, R.

doi:10.1023/a:1021444428550

Cited by 3 publications

(6 citation statements)

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“…All positive AOEs were comparable to, or below, community norms post treatment, with the exception of sexual enhancement. This finding supports those of Jones and McMahon (1996), Brown et al (1998) and Young et al (2011), though is inconsistent with Connors et al (1993) who failed to find a reduction in positive AOE until 18-month follow up. Consistent with the findings of Brown et al (1998), the largest reductions were observed on the Tension Reduction and Social Assertion scales.…”

Section: Discussionsupporting

confidence: 68%

“…The largest change was expected on the Tension Reduction and Assertiveness measures (Brown et al, 1998;R McD Young et al, 2011). Negative AOEs were expected to be more strongly endorsed post-treatment (R McD Young et al, 2011).…”

Section: Aim and Hypothesesmentioning

confidence: 98%

“…Despite the position of AOEs within cognitive conceptualisations of AUD, there is limited evidence supporting their role in treatment response (Jones et al, 2001;Kouimtsidis, Stahl, West, & Drummond, 2014). While several studies have found lower positive AOEs to be predictive of better treatment outcomes (Brown, 1985;Brown, Carrello, Vik, & Porter, 1998;Connors, Tarbox, & Faillace, 1993), this finding is not consistently replicated (Solomon & Annis, 1990;R McD Young et al, 2011). Jones and McMahon found stronger delayed negative AOEs, but not immediate negative or positive AOEs, were predictive of improved treatment outcomes (Jones & McMahon, 1994.…”

Section: Introductionmentioning

confidence: 99%

“…Widely recognised covariates of AOEs such as dependence severity (Connor, Gudgeon, Young, & Saunders, 2007), age (Monk & Heim, 2013;Mooney, Fromme, Kivlahan, & Marlatt, 1987), and gender (Mooney et al, 1987;Read, Wood, Lejuez, Palfai, & Slack, 2004) were not controlled within any of the studies, with the exception of Jones and McMahon (1996). Drinking behaviours were either not reported (Brown et al, 1998), or collapsed within less sensitive categorical variables (Connors et al, 1993;Jones & McMahon, 1996;R McD Young et al, 2011). As the intention of all treatments was to help patients abstain from alcohol, the relationship between drinking behaviour and AOE change is important to the interpretation of results.…”

Section: Introductionmentioning

confidence: 99%

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Personalised treatment for Alcohol Use Disorder: Identification and intervention of target mechanisms

Coates¹

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Alcohol is among the leading contributors to the global burden of morbidity and mortality. Alcohol Use Disorders (AUD) account for the majority of this burden. Numerous interventions have demonstrated effectiveness in the treatment of AUD, but treatment response is modest and relapse rates remain high. No one treatment approach has demonstrated unequivocal superiority, prompting calls for individualised intervention strategies. Insufficient understanding of the mechanisms involved in AUD maintenance and treatment response impair the design and implementation of such approaches. The aim of this thesis was to progress understanding of potential treatment targets within personalised treatments for AUD. Alcohol craving, alcohol outcome expectancies, and rash impulsivity comprise the focus of this thesis, as each has been implicated in AUD maintenance and treatment response. A series of studies examining clinical applications of alcohol craving, outcome expectancies, and rash impulsivity within personalised AUD interventions were conducted. Study 1 (Chapter Two) examined the clinical utility of alcohol craving, focusing on issues of measurement. Highlighting the absence of a theoretically and psychometrically robust measure of craving which is also brief enough to be routinely administered within busy clinical settings, the study aimed to develop a new measure. Using data from 747 treatment seeking AUD patients the 22-item Alcohol Craving Experience Questionnaire (ACE) was reduced to 5-items while preserving its key theoretical elements, psychometric integrity, and clinical implications. The shortened 'Mini ACE' (MACE) is ideal for use with AUD populations in time-limited settings, such as weekly assessment in treatment contexts. An extended review of common issues in craving measurement is provided in the following chapter (Chapter Three). The chapter is intended to assist researchers and treatment providers in the selection, effective application, interpretation of the scales comprising the Alcohol Craving Experience Questionnaire. Study 2 (Chapter Four) highlights an absence of research on targeting alcohol outcome expectancies within Cognitive Behavioural Therapy (CBT) for AUD. Alcohol expectancies of 175 patients who completed a 12-week CBT program for AUD were assessed pre-and post-treatment. Several positive expectancies were predictive of drinking behaviour during treatment, and most reduced toward community norms post-treatment. However, positive expectancy change was not related to drinking behaviour during treatment, challenging cognitive theory emphasising the importance of this process. Increase in negative Publications During Candidature

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Section: Discussionsupporting

confidence: 68%

Section: Aim and Hypothesesmentioning

confidence: 98%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Personalised treatment for Alcohol Use Disorder: Identification and intervention of target mechanisms

Coates¹

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“…Positive AOEs were predicted to significantly reduce over treatment. The largest change was expected on the 'Tension Reduction' and 'Assertiveness' measures (Brown et al, 1998;Young et al, 2011). Negative AOEs were expected to be more strongly endorsed posttreatment (Young et al, 2011).…”

Section: Aim and Hypothesesmentioning

confidence: 92%

Alcohol expectancies pre-and post-alcohol use disorder treatment: Clinical implications

Coates

Gullo

Feeney

et al. 2018

Addictive Behaviors

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Substance use modulates stress reactivity: Behavioral and physiological outcomes

Fosnocht

Briand

2016

Physiology & Behavior

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Drug addiction is a major public health concern in the United States costing taxpayers billions in health care costs, lost productivity and law enforcement. However, the availability of effective treatment options remains limited. The development of novel therapeutics will not be possible without a better understanding of the addicted brain. Studies in both clinical and preclinical models indicate that chronic drug use leads to alterations in the body and brain’s response to stress. Dysregulation of the hypothalamic-pituitary-adrenal (HPA) axis may shed light on the ability of stress to increase vulnerability to relapse. Further, within both the HPA axis and limbic brain regions, corticotropin-releasing factor (CRF) is critically involved in the brain’s response to stress. Alterations in both central and peripheral CRF activity seen following chronic drug use provide a mechanism by which substance use can alter stress reactivity, thus mediating addictive phenotypes. While many reviews have focused on how stress alters drug-mediated changes in physiology and behavior, the goal of this review is to focus on how substance use alters responses to stress.

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Cited by 3 publications

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Personalised treatment for Alcohol Use Disorder: Identification and intervention of target mechanisms

Personalised treatment for Alcohol Use Disorder: Identification and intervention of target mechanisms

Alcohol expectancies pre-and post-alcohol use disorder treatment: Clinical implications

Substance use modulates stress reactivity: Behavioral and physiological outcomes

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