Background Patients with obsessive compulsive disorder (OCD) show abnormal functioning in ventral frontal brain regions involved in emotional/motivational processes, including anterior insula/frontal operculum (aI/fO) and ventromedial frontal cortex (VMPFC). While OCD has been associated with an increased neural response to errors, the influence of motivational factors on this effect remains poorly understood. Methods To investigate the contribution of motivational factors to error processing in OCD, and to examine functional connectivity between regions involved in the error response, functional magnetic resonance imaging data were measured in 39 OCD patients (20 unmedicated, 19 medicated) and 38 control subjects (20 unmedicated, 18 medicated) during an error-eliciting interference task where motivational context was varied using monetary incentives (null, loss, and gain). Results Across all errors, OCD patients showed reduced deactivation of VMPFC and greater activation in left aI/fO as compared to controls. For errors specifically resulting in a loss, patients further hyperactivated VMPFC as well as right aI/fO. Independent of activity associated with task events, OCD patients showed greater functional connectivity between VMPFC and regions of bilateral aI/fO and right thalamus. Conclusions OCD patients show greater activation in neural regions associated with emotion and valuation when making errors, which could be related to altered intrinsic functional connectivity between brain networks. These results highlight the importance of emotional/motivational responses to mistakes in OCD, and point to the need for further study of network interactions in the disorder.

Background: Opioid-related deaths have risen dramatically in rural communities. Prior studies highlight few medication treatment providers for opioid use disorder in rural communities, though literature has yet to examine rural-specific treatment barriers. Objectives: We conducted a systematic review to highlight the state of knowledge around rural medication treatment for opioid use disorder, identify consumer-and provider-focused treatment barriers, and discuss rural-specific implications. Methods: We systematically reviewed the literature using PsycINFO, Web of Science, and PubMed databases (January 2018). Articles meeting inclusion criteria involved rural samples or urban/rural comparisons targeting outpatient medication treatment for opioid use disorder, and were conducted in the U.S. to minimize healthcare differences. Our analysis categorized consumer-and/or providerfocused barriers, and coded barriers as related to treatment availability, accessibility, and/or acceptability. Results: Eighteen articles met inclusion, 15 which addressed consumer-focused barriers, while seven articles reported provider-focused barriers. Availability barriers were most commonly reported across consumer (n = 10) and provider (n = 5) studies, and included the lack of clinics/providers, backup, and resources. Acceptability barriers, described in three consumer and five provider studies, identified negative provider attitudes about addiction treatment, and providers' perceptions of treatment as unsatisfactory for rural patients. Finally, accessibility barriers related to travel and cost were detailed in four consumer-focused studies whereas two provider-focused studies identified time constraints. Conclusions: Our findings consistently identified a lack of medication providers and rural-specific implementation challenges. This review highlights a lack of rural-focused studies involving consumer participants, treatment outcomes, or barriers impacting underserved populations. There is a need for innovative treatment delivery for opioid use disorder in rural communities and interventions targeting provider attitudes.

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This study examined whether distinct subgroups could be identified among a sample of non-treatment-seeking problem and pathological/disordered gamblers (PG) using Blaszczynski and Nower's (Addiction 97:487-499, 2002) pathways model (N = 150, 50% female). We examined coping motives for gambling, childhood trauma, boredom proneness, risk-taking, impulsivity, attention-deficit/hyperactivity disorder (ADHD), and antisocial personality disorder as defining variables in a hierarchical cluster analysis to identify subgroups. Subgroup differences in gambling, psychiatric, and demographic variables were also assessed to establish concurrent validity. Consistent with the pathways model, our analyses identified three gambling subgroups: (1) behaviorally conditioned (BC), (2) emotionally vulnerable (EV), and (3) antisocial-impulsivist (AI) gamblers. BC gamblers (n = 47) reported the lowest levels of lifetime depression, anxiety, gambling severity, and interest in problem gambling treatment. EV gamblers (n = 53) reported the highest levels of childhood trauma, motivation to gamble to cope with negative emotions, gambling-related suicidal ideation, and family history of gambling problems. AI gamblers (n = 50) reported the highest levels of antisocial personality disorder and ADHD symptoms, as well as higher rates of impulsivity and risk-taking than EV gamblers. The findings provide evidence for the validity of the pathways model as a framework for conceptualizing PG subtypes in a non-treatment-seeking sample, and underscore the importance of tailoring treatment approaches to meet the respective clinical needs of these subtypes.

Delay discounting (DD) refers to how rapidly an individual devalues goods based on delays to receipt. DD usually is considered a trait variable but can be state-dependent; yet few studies have assessed commodity valuation at short, naturalistically relevant time intervals that might enable state-dependent analysis. This study aimed to determine whether drug-use impulsivity and intelligence influence heroin DD at short (ecologically relevant) delays during two pharmacological states (heroin satiation and withdrawal). Out-of-treatment, intensive heroin users (n=170; 53.5% African-American; 66.7% male) provided complete DD data during imagined heroin satiation and withdrawal. Delays were 3, 6, 12, 24, 48, 72, and 96 hours; maximum delayed heroin amount was thirty $10 bags. Indifference points were used to calculate area under the curve (AUC). We also assessed drug-use impulsivity (subscales from the Impulsive Relapse Questionnaire, IRQ) and estimated intelligence (Shipley IQ) as predictors of DD. Heroin discounting was greater (smaller AUC) during withdrawal than satiation. In regression analyses, lower intelligence and IRQ Capacity for Delay as well as higher IRQ Speed (to return to drug use) predicted greater heroin discounting in the satiation condition. Lower intelligence and higher IRQ Speed predicted greater discounting in the withdrawal condition. Sex, race, substance use variables, and other IRQ subscales were not significantly related to the withdrawal or satiation DD behavior. In summary, heroin discounting was temporally rapid, pharmacological state-dependent, and predicted by drug-use impulsivity and estimated intelligence. These findings highlight a novel and sensitive measure of acute DD that is easy to administer.

Background Addiction research literature suggests some demographic groups exhibit a later age of substance use initiation, more rapid escalation to dependence, and worse substance use-related outcomes. This ‘telescoping’ effect has been observed more often in females but has not yet been examined in not-in-treatment heroin users or racial subgroups. Methods Not-in-treatment, intensive heroin-using adults screened for laboratory-based research studies (N = 554; range 18–55 yr; mean age: 42.5 yr; 60.5% African American [AA]; 70.2% male) were included in this secondary analysis. A comprehensive drug history questionnaire assessed heroin-use characteristics and lifetime adverse consequences. We examined telescoping effects by racial and gender groups: Caucasian males and females; AA males and females. Results Caucasian males initiated heroin use significantly later than AA males but this difference was not observed for age at intensive heroin use (≥3 times weekly). Caucasian males reported significantly more lifetime heroin use-related consequences, were more likely to inject heroin, and reported more-frequent past-month heroin use, but did not differ from AA males in lifetime heroin quit attempts or prior heroin treatment. Females, compared to males, reported later onset of initial and intensive use, but there was no gender-telescoping effect from initial to intensive heroin-use. Conclusions In this not-in-treatment sample, Caucasian males exhibited more rapid heroin-use progression and adverse consequences than AA males, i.e., within-gender, racial-group telescoping. Despite later-onset heroin use among females, there was no evidence of gender-related telescoping. Given the resurgence of heroin use, differential heroin-use trajectories across demographic groups may be helpful in planning interventions.

Mood disorders frequently co-occur with problem and pathological gambling, and they are associated with greater gambling severity. These findings highlight that interpersonal facets of personality contribute substantially to co-occurring mood disorder status. Implications for treatment will be discussed.