Addictive behaviors最新文献

Purpose

Exposure to alcohol-related cues is thought to elicit a conditional response characterized by increased craving in individuals with alcohol use disorder (AUD). In the context of AUD research, it is important to consider that not all individuals with an AUD are alcohol cue reactive. This study systematically examined subjective alcohol cue reactivity and its clinical and drinking correlates in individuals with an AUD enrolled in a human laboratory pharmacotherapy trial.

Methods

Individuals with current moderate-to-severe AUD (N = 52) completed a standard alcohol cue exposure paradigm and individual difference assessments as part of a human laboratory pharmacotherapy trial (NCT04249882). We classified participants as cue reactive (CR+) and cue non-reactive (CR-), as indicated by self-reported, subjective alcohol urge, and examined group differences in baseline clinical characteristics and drinking outcomes over the course of the trial.

Results

Twenty participants (38%) were identified as CR+, while 32 participants (62%) were identified as CR-. The CR+ and CR− groups did not differ in baseline drinking and AUD clinical characteristics, but the groups differed in race composition (p = 0.02) and smoking prevalence (p = 0.04) such that the CR+ group had lower prevalence of smokers. The CR+, compared with the CR-, group drank more during the trial titration period (p = 0.03). Both groups reduced drinking across the trial (p’s < 0.001), but the CR+ group exhibited a smaller reduction in drinking, compared with the CR- group (time x group, p = 0.029; CR-, p < 0.0001; CR+: p = 0.01).

Conclusion

Results indicate that cue reactivity is a heterogenous construct. Recognizing this heterogeneity, and the clinical factors associated with it, is critical to advancing this paradigm as an early efficacy marker in AUD research.

Background and Aims

Since the COVID-19 outbreak, people's habits changed radically. In fact, to limit the spread of SARS-CoV-2, governments implemented restrictive measures that influenced the lives of individuals. The aim of this systematic review is to analyze the impact of COVID-19 on gambling by examining three different outcomes: frequency, expenditure, and transition among possible types of gambling.

Methods

All studies assessing the impact of restrictive measures implemented to limit the spread of SARS-CoV-2 on gambling were included. For the search, two different databases were used: Pubmed and CINAHL.

Moreover, two different populations were analyzed: the general population, and subjects who used to gamble before SARS-CoV-2 pandemic. All qualitative studies, reports not based on peer-review, and papers in which the statistical unit was not the subject but the gambling or wagering operators were excluded.

Results

From the search, 408 reports were identified. Of these, 28 were included in the systematic review. From the studies, a strong reduction in the frequency and expenditure of land-based gambling emerged, while the results about online gambling were different among the studies. However, a reduction was observed assessing sports betting, and an increase emerged considering online casino and skill games. Finally, a significant migration from land-based gambling to online platforms was identified. The main reasons for these findings were the physical closures of land-based gambling venues and the more time spent at home, the suspension or cancelation of sporting events on which subjects used to bet, and more mental health issues during this challenging period.

Conclusions

The COVID-19 pandemic greatly affected subjects' habits, including gambling, by reducing land-based gambling and sports betting, and increasing gambling on online platforms. This shift poses significant challenges, requiring a comprehensive approach to monitor and mitigate the negative consequences of this increase in online gambling caused by the pandemic.

Background

Recent cannabis use (RCU) exerts adverse effects on the brain. However, the effect of RCU on structural covariance networks (SCNs) is still unclear. This retrospective cross-sectional study aimed to explore the effects of RCU on SCNs in young adults in terms of whole cerebral cortical thickness (CT) and cortical surface area (CSA).

Methods

A total of 117 participants taking tetrahydrocannabinol (RCU group) and 896 participants not using cannabis (control group) were included in this study. All participants underwent MRI scanning following urinalysis screening, after which FreeSurfer 5.3 was used to calculate the CT and CSA, and SCNs matrices were constructed by Brain Connectivity Toolbox. Subsequently, the global and nodal network measures of the SCNs were computed based on these matrices. A nonparametric permutation test was used to investigate the group differences by Matlab.

Results

Regarding global network measures of CT, young adults with RCU exhibited altered small-worldness (P = 0.020) and clustering coefficient (P = 0.031) compared to controls, whereas there were no significant group differences in terms of SCNs constructed with CSA. Additionally, SCNs based on CT and CSA displayed abnormal nodal degree, nodal efficiency, and nodal betweenness centrality in vital brain regions of the triple network, including the dorsolateral and ventrolateral prefrontal cortex, and anterior cingulate cortex.

Conclusion

The effects of RCU on brain structure in young adults can be detected by SCNs, in which structural abnormalities in the triple network are dominant, indicating that RCU can be detrimental to brain function.

Cue reactivity is relevant across addictive disorders as a process relevant to maintenance, relapse, and craving. Understanding the neurobiological foundations of cue reactivity across substance and behavioral addictions has important implications for intervention development. The present study used intrinsic connectivity distribution methods to examine functional connectivity during a cue-exposure fMRI task involving gambling, cocaine and sad videos in 22 subjects with gambling disorder, 24 with cocaine use disorder, and 40 healthy comparison subjects. Intrinsic connectivity distribution implicated the posterior cingulate cortex (PCC) at a stringent whole-brain threshold. Post-hoc analyses investigating the nature of the findings indicated that individuals with gambling disorder and cocaine use disorder exhibited decreased connectivity in the posterior cingulate during gambling and cocaine cues, respectively, as compared to other cues and compared to other groups. Brain-related cue reactivity in substance and behavioral addictions involve PCC connectivity in a content-to-disorder specific fashion. The findings suggesting that PCC-related circuitry underlies cue reactivity across substance and behavioral addictions suggests a potential biomarker for targeting in intervention development.

Social anxiety is a common comorbid factor of problematic mobile phone use, but the relationship between them from the inside structure has been underexplored. This two-wave longitudinal study aims to identify the central symptoms of problematic mobile phone use and social anxiety, respectively, as well as the bridge symptoms between the two disorders. Furthermore, this study examined the time and gender differences. A total of 3,294 Chinese adolescents were recruited during two waves (T1: January 2023; T2: August 2023), and completed the questionnaires of social anxiety and problematic mobile phone use. Through network analysis, the results showed that 1) the central symptom of problematic mobile phone use was “loss of control” both at T1 and T2, 2) the central symptom of social anxiety was “fear of negative evaluation” both at T1 and T2, and 3) the bridge symptom between social anxiety and problematic mobile phone use was “withdrawal” both at T1 and T2. Moreover, the network comparison test indicated that the nodes of social anxiety were more strongly associated with “craving”, “loss of control”, and “negative life consequences“ of problematic mobile phone use at T2 than at T1. The nodes of social anxiety were more strongly associated with “negative life consequences” of problematic mobile phone use for boys than for girls, while the “fear of negative evaluation” was more strongly associated with “loss of control” for girls than for boys. These findings provide new scientific basis for interventions targeting adolescents who are susceptible to social anxiety and problematic mobile phone use.

Background

People in substance use disorder (SUD) treatment have a smoking prevalence that is five times higher than the national average. California funded the Tobacco Free for Recovery Initiative, designed to support programs in implementing tobacco-free grounds and increasing smoking cessation services. In the first cohort of the initiative (2018–2020) client smoking prevalence decreased from 54.2% to 26.6%. The current study examined whether similar findings would be replicated with a later cohort of programs (2020–2022).

Method

Cross-sectional survey data were collected from clients in 11 residential SUD treatment programs at baseline (n = 185) and at post intervention (n = 227). Multivariate logistic regression assessed change over time in smoking prevalence, tobacco use behaviors, and receipt of cessation services across the two timepoints.

Results

Client smoking prevalence decreased from 60.3 % to 40.5 % (Adjusted Odds Ratio [AOR] = 0.46, 95 % CI = 0.27, 0.78; p = 0.004). Current smokers and those who quit while in treatment reported an increase in nicotine replacement therapy (NRT)/pharmacotherapy from baseline to post intervention (31.9 % vs 45.6 %; AOR = 2.22, 95 % CI = 1.08, 4.58; p = 0.031).

Conclusions

Like the first cohort, the Tobacco Free for Recovery initiative was associated with decreased client smoking prevalence and an increase in NRT/pharmacotherapy. These findings strengthen the evidence that similar initiatives may be effective in reducing smoking prevalence among people in SUD treatment.

Problematic Smartphone Use (PSU) among adolescents is growing problem worldwide and multiple studies investigated its associated parental risk and protective factors. The available studies, however, typically do not address the multidimensional nature of PSU. They also rely heavily on cross-sectional designs with a small number of potentially contributing variables. This 6-month prospective study examines the relationships between a large range of parental factors with the three known dimensions of PSU: social environment pressure, emotional gain, and addiction-like behaviors. Specifically the study examines whether, and to what extent, the various dimensions of current and future PSU are related to parental support giving, general quality of communication, specific communication about smartphone use, and the four common mediation strategies. The sample comprised 1187 triads of mothers, fathers, and adolescents. The data-analysis pipeline consisted of three consecutive phases: (1) analyses of parental factors at baseline, (2) analyses of parental factors change over 6-months, and (3) interaction analyses between parental factors and the time-period of the study. The pipeline elicited three factors that moderated the change in PSU over time: Communication about smartphones with mothers, parental support giving, and parental co-use. The implications of these findings are discussed in the context of the existing literature and the familial, microsystem theoretical framework. Altogether, this prospective study scrutinized key parental factors and strategies that could be utilized by parents for coping with one of the most difficult parenting challenges of the digital era. Further research may build upon these findings to develop designated interventions to reduce PSU.

Objective

Scalable interventions attempting to nurture peer outreach to help young adults meet drinking limit goals remain under-developed. To address this gap, we developed ASPIRE, a text message intervention focused on coaching individuals to engage with close peers to assist them in meeting drinking limit goals.

Method

Non-collegiate young adults who had reported one or more heavy drinking days in the preceding month and were at least contemplating change were recruited through social media. Participants were randomly assigned to one of three 6-week text message interventions: Control, Goal Support, or ASPIRE. All groups completed baseline assessments and received weekly text message assessments on Thursdays and Sundays. Control and ASPIRE groups were prompted to complete web-based outcome assessments at 6- and 12-weeks.

Results

We enrolled 92 young adults from 31 US states (65% female; 73% White). All groups had high text response rates but intervention usability was sub-optimal. Follow-up rates were 87% at 6-weeks and 79% at 12-weeks. Compared to Control, ASPIRE participants reported significantly more peer support and less peer pressure to drink. ASPIRE exhibited higher goal confidence compared to the Goal Support group. Using multiple imputation, there were no significant differences in drinking outcomes between groups.

Conclusions

Preliminary findings from this pilot study suggest that a text message intervention focused on nurturing peer outreach to help meet drinking limit goals holds promise in altering peer support and pressure as well as boosting drinking limit goal confidence. Design improvements are needed to reduce alcohol consumption.

Background

The relationship between opioid craving and opioid use is unclear. We sought to determine to what extent craving mediated the relationship between opioid agonist therapy and changes in opioid use.

Methods

Data came from a pragmatic, 24-week, pan-Canadian, multi-centric, open-label, randomized controlled trial comparing flexible buprenorphine/naloxone take-home doses to standard supervised methadone models of care for the treatment of prescription-type opioid use disorder. Participants were randomly allocated to buprenorphine/naloxone or methadone models of care. 270 people with prescription-type opioid use disorder were included in analyses. There were 93 women (34.4%) and 2 transgender (0.7%) participants. Most participants were white (67.4%), 45.9% reported unstable living conditions, and 44.8% had psychiatric comorbidities. Generalized linear mixed models followed by mediation analysis estimated the direct effect of treatment group on Timeline Followback-reported next-week opioid use and the indirect effect through past 24-hour opioid craving measured using the Brief Substance Craving Scale at week 2, 6, 10, 14, 18 and 22.

Results

Upon mediation analysis, the average direct effect of treatment on opioid use was 0.465 (95 % CI = 0.183 to 0.751, p < 0.001). The average causal mediated effect was 0.144 (95 % CI = 0.021 to 0.110; p < 0.001). Craving accounted for 23.6 % of the effect of treatment on opioid use (p < 0.001).

Conclusions

Past 24-hour craving was associated with increased next-week opioid use; however, craving only partially mediated the effect of buprenorphine/naloxone and methadone on next-week opioid use. Research is needed to develop a comprehensive understanding of factors mediating opioid use during opioid agonist therapy.

Objective

Despite experiencing alcohol-related consequences, college students continue to drink at high rates. Hypothetical evaluations of alcohol-related consequences (i.e., evaluations of where potential/hypothetical consequences lie on a spectrum from extremely positive to extremely negative) may contribute to the maintenance of drinking patterns among students. The purpose of the present study was to describe hypothetical evaluations in a sample of students mandated to an alcohol intervention, examine changes over time, and investigate the influence of both baseline and time-varying experienced consequences. Method: This study was a secondary data analysis from a longitudinal randomized controlled trial. Participants were 474 mandated students (M_age = 18.65; 55.5 % male, 77.6 % White). Students completed an initial baseline assessment of demographics, alcohol use, consequences, and hypothetical evaluations, and 3-month and 9-month follow-up assessments that included hypothetical evaluations and experienced consequences. Results: Hierarchical linear modeling (HLM) analyses revealed significant change in hypothetical evaluations over time such that they became less negative. A piecewise model demonstrated that this change happened between baseline and 3-month, with no additional change between 3-month and 9-month. The experience of consequences at baseline did not significantly moderate changes in either time interval. Time-varying consequences also had no significant effect on same-timepoint hypothetical evaluations. Conclusions: This study is the first to examine changes in hypothetical evaluations over time among mandated college students. Counter to expectations, hypothetical evaluations became less negative at 3-month follow-up. Though preliminary, findings add to the understanding of hypothetical evaluations of alcohol-related consequences.