220 research outputs found

    Predictors of Smoking Behavior and Readiness to Quit in Addiction Treatment

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    Background: Prevalence of tobacco use is 3 times higher for those seeking substance abuse treatment than those in the general population. Clinical practice guidelines recommend addressing smoking cessation. This population has more difficulty quitting than the general population. Methods: This paper analyzes predictors of smoking behavior and readiness to quit in patients enrolled in addiction treatment programs. Data from six substance abuse treatment centers was collected. A total of 235 clients were surveyed on their smoking attitudes and behaviors. Results: Survey data from 139 current smokers was analyzed. In logistic regression analyses predicting readiness to quit smoking, and controlling for cigarettes per day, and demographic variables, smoking attitudes, perceived risk of lung cancer and awareness of FDA tobacco regulations were significant predictors. Only smoking attitude was significant, controlling for demographic variables, when predicting cigarettes per day. There was an inverse relationship with FDA awareness when predicting readiness to quit. Future analyses will be needed to look at FDA awareness and readiness to quit since this was not an expected outcome. Conclusions: Smoking attitudes and perceived self-risk for lung cancer were significant predictors of readiness to quit and cigarettes per day. Improving attitudes toward smoking cessation and increasing perceptions about health risks may help programs address quitting in this population

    Frontal Metabolite Concentration Deficits in Opiate Dependence Relate to Substance Use, Cognition, and Self-Regulation.

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    ObjectiveProton magnetic resonance spectroscopy (1H MRS) in opiate dependence showed abnormalities in neuronal viability and glutamate concentration in the anterior cingulate cortex (ACC). Metabolite levels in dorsolateral prefrontal cortex (DLPFC) or orbitofrontal cortex (OFC) and their neuropsychological correlates have not been investigated in opiate dependence.MethodsSingle-volume proton MRS at 4 Tesla and neuropsychological testing were conducted in 21 opiate-dependent individuals (OD) on buprenorphine maintenance therapy. Results were compared to 28 controls (CON) and 35 alcohol-dependent individuals (ALC), commonly investigated treatment-seekers providing context for OD evaluation. Metabolite concentrations were measured from ACC, DLPFC, OFC and parieto-occipital cortical (POC) regions.ResultsCompared to CON, OD had lower concentrations of N-acetylaspartate (NAA), glutamate (Glu), creatine +phosphocreatine (Cr) and myo-Inositol (mI) in the DLPFC and lower NAA, Cr, and mI in the ACC. OD, ALC, and CON were equivalent on metabolite levels in the POC and γ-aminobutyric acid (GABA) concentration did not differ between groups in any region. In OD, prefrontal metabolite deficits in ACC Glu as well as DLPFC NAA and choline containing metabolites (Cho) correlated with poorer working memory, executive and visuospatial functioning; metabolite deficits in DLPFC Glu and ACC GABA and Cr correlated with substance use measures. In the OFC of OD, Glu and choline-containing metabolites were elevated and lower Cr concentration related to higher nonplanning impulsivity. Compared to 3 week abstinent ALC, OD had significant DLPFC metabolite deficits.ConclusionThe anterior frontal metabolite profile of OD differed significantly from that of CON and ALC. The frontal lobe metabolite abnormalities in OD and their neuropsychological correlates may play a role in treatment outcome and could be explored as specific targets for improved OD treatment

    Predictors of quit attempts among smokers enrolled in substance abuse treatment

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    Introduction: This study investigates factors predicting past year quit attempts among smokers enrolled in substance abuse treatment in New York State. Methods: Data were drawn from two prior cross-sectional surveys conducted among clients treated in 10 randomly selected substance abuse treatment programs. Among 820 clients recruited, 542 self-identified as current smokers, and 485 provided information about their quit attempts. The main outcome was reporting a quit smoking attempt in the past year, dichotomized as quit attempters or non-quit attempters. Univariate and multivariate logistic regression analyses were performed to explore predictors of attempting to quit. Results: Half of substance abuse clients in treatment programs reported a past year quit attempt. Quit attempters were more likely to be in a preparation and contemplation stage of change (preparation: OR = 2.68,95% CI: 1.51-4.77; contemplation: OR = 2.96 95% CI: 1.61-5.42), reported more positive attitudes toward quitting (OR = 1.49; 95% CI: 1.11-1.99) and received more cessation services than non-quit attempters (OR = 1.21; 95% Cl: 1.11-1.99). Conclusions: Addressing patient attitudes about quitting smoking, having clinicians address smoking in the course of addiction treatment, and offering interventions to increase readiness to quit may contribute to increased quit attempts in smokers enrolled in addiction treatment programs. (C) 2014 Elsevier Ltd. All rights reserved

    An International Systematic Review of Smoking Prevalence in Addiction Treatment

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    Aims: Smoking prevalence is higher among people enrolled in addiction treatment compared with the general population, and very high rates of smoking are associated with opiate drug use and receipt of opiate replacement therapy (ORT). We assessed whether these findings are observed internationally. Methods: PubMed, PsycINFO and the Alcohol and Alcohol Problems Science Database were searched for papers reporting smoking prevalence among addiction treatment samples, published in English, from 1987 to 2013. Search terms included tobacco use, cessation and substance use disorders using and/or Boolean connectors. For 4549 papers identified, abstracts were reviewed by multiple raters; 239 abstracts met inclusion criteria and these full papers were reviewed for exclusion. Fifty-four studies, collectively comprising 37364 participants, were included. For each paper we extracted country, author, year, sample size and gender, treatment modality, primary drug treated and smoking prevalence. Results: The random-effect pooled estimate of smoking across people in addiction treatment was 84% [confidence interval (CI)=79, 88%], while the pooled estimate of smoking prevalence across matched population samples was 31% (CI=29, 33%). The difference in the pooled estimates was 52% (CI=48%, 57%, P<.0001). Smoking rates were higher in programs treating opiate use compared with alcohol use [odds ratio (OR)=2.52, CI=2.00, 3.17], and higher in ORT compared to out-patient programs (OR=1.42, CI=1.19, 1.68). Conclusions: Smoking rates among people in addiction treatment are more than double those of people with similar demographic characteristics. Smoking rates are also higher in people being treated for opiate dependence compared with people being treated for alcohol use disorder
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