To examine whether the level of genetic risk in psychiatric disorders impacts the social functioning of affected individuals, we examine the relationship between genetic risk factors for major depression (MD), anxiety disorders (AD), bipolar disorder (BD), non-affective psychosis (NAP), alcohol use disorder (AUD), and drug use disorder (DUD) in disordered individuals and five adverse social outcomes: unemployment, residence in areas of social deprivation, social welfare, early retirement, and divorce. We examine all cases with registration for these disorders from 1995 to 2015 in individuals born in Sweden. Genetic risk was assessed by the family genetic risk score (FGRS) and statistical estimates by Cox proportional hazard models. High genetic risk was significantly and modestly associated with poorer social outcomes in 23 of 30 analyses. Overall, genetic risk for MD, AD, AUD, and DUD impacted social functioning more strongly in affected individuals than did genetic risk for BD and NAP. Social welfare had the strongest associations with genetic risk, and residence in areas of high deprivation had the weakest. In individuals suffering from psychiatric and substance use disorders, high levels of genetic risk impact not only clinical features but also diverse measures of social functioning.

UNASSIGNED: To identify situational factors that can predict drug abstention in patients with drug use disorders undergoing residential drug use treatment.
UNASSIGNED: Patients with drug use disorders admitted to drug addiction rehabilitation centers (DARCs) in 2016 were involved in this study. Longitudinal panel data were used, with eight follow-up surveys over 6 years, approximately every 6 months. Of the 2752 samples from the eight follow-up surveys, 2293 were analyzed as the complete panel data set. The primary outcome was drug abstention for approximately 6 months. The influences of situational factors during this period on the primary outcome were also assessed using a generalized linear mixed model in which inter-individual differences were controlled as variable effects.
UNASSIGNED: The use of residential DARCs positively influenced the primary outcome (adjusted odds ratio [AOR] 3.33, 95% confidence interval [CI] 1.79-6.21) when compared to no DARC usage. The cessation of drinking also positively affected the primary outcome (AOR 3.10, 95% CI 1.79-4.62), while employment status (AOR 2.22, 95% CI 1.12-4.41) and the cessation of drinking (AOR 4.92, 95% CI 2.77-8.72) positively impacted the primary outcomes of patients not using DARCs.
UNASSIGNED: The use of residential DARCs and the cessation of drinking positively affected drug abstention rates. Employment and the cessation of drinking for patients who were not using the DARCs also had a positive effect. This information will aid in the development of social recovery strategies for people with drug use disorders.

Although gender differences in the prevalence of substance use disorders (SUD) have been well-characterized, little is known about when gender differences emerge along the continuum of substance use. Understanding the contribution of gender to risk at key transition points across this continuum is needed to identify potential mechanisms underlying gender differences and to inform improved gender-responsive interventions. To characterize gender differences in the progression of cannabis, cocaine, and heroin use, the current study used data from the United States-based 2015-2019 National Survey on Drug Use and Health to quantify gender differences in: (1) perceived access to drugs, (2) lifetime drug use among individuals with at least some access, and (3) past-year SUD among those who had ever used each drug. Logistic regressions were conducted for each drug to examine gender differences across all three stages, controlling for sociodemographic factors and survey year. Compared to women, men had higher odds of reporting access to and lifetime use of all three drug types. Men also had higher odds of past-year cannabis and cocaine use disorders compared to women. Results suggest gender differences emerge in the earliest stage of drug use (access) and may accumulate across the stages of use. The magnitude of gender differences varied across stages, with the largest differences observed for odds of drug initiation among those with perceived access to each drug. Longitudinal data will be needed to confirm these findings and to provide insight into potential contributors to gender-specific risk and intervention targets across the continuum of drug use severity.

OBJECTIVE: Despite high rates of relapse after treatment for drug use, to our knowledge there is no systematic literature identifying psychological factors that predict risk of relapse to drug use (excluding alcohol or tobacco). Our aim was to identify psychological factors that predict risk of relapse to drug use after enrollment in drug use treatment. The identification of such factors can support treatment planning and relapse prevention.
METHODS: We searched for peer-reviewed articles published between 2000 and 2023 in PsycINFO, PsycArticles, Web of Science, and PubMed. The inclusion criteria were: peer-reviewed publications, quantitative studies, in English, adult samples, with a prospective design, and analyses of minimum one psychological factor as predictor of relapse to drug use. All authors were involved in abstract and full-text screening, and in assessing risk of bias. The findings are presented in a narrative synthesis and tables are organized by type of drug.
RESULTS: Of 2226 publications initially identified, 45 were eligible. Twenty-three focused on predicting relapse to stimulants, 15 to opioids, and 7 to unspecified drugs. Substance use at baseline was an important factor predicting risk of relapse to opioids, and possibly stimulants. There was an indication that craving and attention problems potentially predict relapse to use of some drugs. Mental health factors (e.g., psychiatric diagnosis) did not predict relapse. Several psychological factors (e.g., cognition, emotion, personality, motivation) were scarcely examined. Over half of the studies had moderate to high risk of bias.
CONCLUSIONS: Based on the 45 studies, few psychological factors predicted risk of relapse to drug use. Higher comparability between studies and more rigorous methodology are necessary in order to derive more precise recommendations that inform and improve clinical practice.
UNASSIGNED: PROSPERO, CRD42020182839.

A family history of substance problems is a well-known risk factor for substance use and use disorders; however, much of this research has been conducted in studies with predominantly White subjects. The aim of this study was to examine the associations between family history density of substance problems and drug use, risk for drug use disorder, and prescription drug misuse in a sample of African American adults. Results indicate that family history density of substance problems increased the risk for all drug outcomes in the full sample. However, when subgroup analyses by gender were conducted, family history was not a risk factor among men for prescription drug misuse.

BACKGROUND: Although morbidity and mortality related to synthetic opioids such as illicitly manufactured fentanyl are monitored in the U.S., there has been a lack of national survey data focusing on use. Survey data are important because self-report can help estimate prevalence of use among living persons.
METHODS: Data were examined from the 2022 National Survey on Drug Use and Health, a nationally representative probability sample of non-institutionalized individuals aged ≥12 years in the U.S. (N=59,069). Prevalence and correlates of past-year use of illicitly manufactured fentanyl were estimated. Data were analyzed in 2024.
RESULTS: The estimated prevalence of past-year illicitly manufactured fentanyl use was 0.23% (95% CI=0.17, 0.31). Compared with no past-year use, individuals were at increased odds for illicitly manufactured fentanyl use if proxy diagnosed with use disorder involving use of cannabis (AOR=3.72, 95% CI=1.34, 10.32), cocaine (AOR=11.96, 95% CI=4.78, 29.93), methamphetamine (AOR=5.60, 95% CI=1.65, 19.02), heroin (AOR=20.56, 95% CI=8.90, 47.52), and/or prescription opioids (AOR=10.65, 95% CI=3.54, 32.03). (Mis)use without use disorder was only significant for prescription opioids (AOR=5.77, 95% CI=2.55, 13.06). Those receiving treatment for substance use in the past year were also at increased odds for use (AOR=5.79, 95% CI=2.58, 13.00).
CONCLUSIONS: Prevalence of illicitly manufactured fentanyl use is rare in the general U.S.
METHODS: Whereas past-year (mis)use of other drugs (without use disorder) was not consistently associated with illicitly manufactured fentanyl use, cannabis, cocaine, methamphetamine, heroin, and prescription opioid use disorder was associated with higher odds of illicitly manufactured fentanyl use, suggesting that more severe use of various drugs is more of a risk factor than use.

BACKGROUND: Alcohol or drug (AOD) problems are a significant health burden in the UK population, and understanding pathways to remission is important.
OBJECTIVE: To determine the UK population prevalence of overcoming an AOD problem and the prevalence and correlates of \'assisted\' pathways to problem resolution.
METHODS: Stage 1: a screening question was administered in a national telephone survey to provide (a) an estimate of the UK prevalence of AOD problem resolution; and (b) a demographic profile of those reporting problem resolution. Stage 2: social surveying organisation YouGov used the demographic data from stage 1 to guide the administration of the UK National Recovery Survey to a representative subsample from its online panel.
RESULTS: In stage 1 (n = 2061), 102 (5%) reported lifetime AOD problem resolution. In the weighted sample (n = 1373) who completed the survey in stage 2, 49.9% reported \'assisted\' pathway use via formal treatment (35.0%), mutual help (29.7%) and/or recovery support services (22.6%). Use of an assisted pathway was strongly correlated with lifetime AOD diagnosis (adjusted odds ratio [AOR] = 9.54) and arrest in the past year (AOR = 7.88) and inversely correlated with absence of lifetime psychiatric diagnosis (AOR = 0.17). Those with cocaine (AOR = 2.44) or opioid problems (AOR = 3.21) were more likely to use assisted pathways compared with those with primary alcohol problems.
CONCLUSIONS: Nearly three million people have resolved an AOD problem in the UK. Findings challenge the therapeutic pessimism sometimes associated with these problems and suggest a need to learn from community-based self-change that can supplement and enhance existing treatment modalities.

BACKGROUND: One potential cause of comorbidity is the direct causal effect of one disorder - A - on risk for subsequent onset of disorder B. Could genetic risk scores be utilized to test for such an effect? If disorder A causally impacts on risk for disorder B, then genetic risk for disorder A should be lower in cases of disorder A with v. without a prior onset of B.
METHODS: In all individuals (n = 905 736) born in Sweden from 1980 to 1990, from six psychiatric and drug use disorders (major depression, anxiety disorders, alcohol use disorder, drug use disorder, bipolar disorder, and schizophrenia), we formed 14 pairs of disorders A and B. In these pairs, we compared, using Cox proportional hazards models, the predictive effect of the familial-genetic risk score (FGRS) for disorder B in those who had v. had not had a prior onset of disorder A.
RESULTS: In all pairs, the impact of the FGRS for disorder B was significantly stronger in cases without v. with a prior history of disorder A. These effects were similar across sex, stable across levels of FGRS and not likely due to clinician bias. In many of our disorder pairs, previous clinical studies suggest a mechanism for a causal effect of disorder A on B.
CONCLUSIONS: Our findings provide indirect evidence that the occurrence of one psychiatric or substance use disorder often has a causal effect on risk for subsequent disorders. This mechanism may substantially contribute to the widespread comorbidity among psychiatric conditions.

UNASSIGNED: Individual Placement and Support (IPS) is a specialist intervention to help people attain employment in the open competitive labour market. IPS has been developed in severe mental illness and other disabilities, but it is of unknown effectiveness for people with alcohol and drug dependence. The Individual Placement and Support-Alcohol and Drug (IPS-AD) is the first superiority trial to evaluate effectiveness and cost-effectiveness.
UNASSIGNED: IPS-AD was a pragmatic, parallel-group, multi-centre, randomised, controlled, phase 3 trial of standard employment support (treatment-as-usual [TAU]) versus IPS. IPS was offered as a single episode for up to 13 months. The study was done at seven community treatment centres for alcohol and drug dependence in England. Study participants were adults (18-65 years), who had been enrolled for at least 14 days in treatment for alcohol use disorder (AUD), opioid use disorder (OUD), or another drug use disorder (DUD; mostly cannabis and stimulants); were unemployed or economically inactive for at least six months; and wished to attain employment in the open competitive labour market. After random allocation to study interventions, the primary outcome was employment during 18-months of follow-up, analysed by mixed-effects logistic regression, using multiple imputation for the management of missing outcome data. There were two cost-effectiveness outcomes: a health outcome expressed as a quality adjusted life year (QALY) using £30,000 and £70,000 willingness-to-pay [WTP] thresholds; and additional days of employment, with a WTP threshold of £200 per day worked. The study was registered with ISRCTN (ISRCTN24159790) and is completed.
UNASSIGNED: Between 8 May 2018 and 30 September 2019, 2781 potentially eligible patients were identified. 812 were excluded before screening, and 1720 participants were randomly allocated to TAU or IPS. In error, nine participants were randomised to study interventions on two occasions-so data for their first randomisation was analysed (modified intention-to-treat). A further 24 participants withdrew consent for all data to be used (full-analysis set therefore 1687 participants [70.1% male; mean age 40.8 years]; TAU, n = 844; IPS, n = 843 [AUD, n = 610; OUD, n = 837; DUD, n = 240]). Standard employment support was received by 559 [66.2%] of 844 participants in the TAU group. IPS was received by 804 [95.37%] of 843 participants in the IPS group. IPS was associated with an increase in attainment of employment compared with TAU (adjusted odds ratio [OR] 1.29; 95% CI 1.02-1.64; p-value 0.036). IPS was effective for the AUD and DUD groups (OR 1.48; 95% CI 1.14-1.92; p-value 0.004; OR 1.45, 95% CI 1.03-2.04, p-value 0.031, respectively), but not the OUD group. IPS returned an incremental QALY outcome gain of 0.01 (range 0.003-0.02) per participant with no evidence of cost-effectiveness at either WTP threshold-but QALY gains were cost-effective for the AUD and DUD groups at the £70,000 WTP threshold (probability 0.52 and 0.97, respectively). IPS was cost-effective for additional days of employment (probability 0.61), with effectiveness relating to the AUD group only (probability >0.99). Serious Adverse Events were reported by 39 participants (13 [1.5%] of 844 participants in the TAU group and 23 [2.7%] of 43 participants in the IPS group). There was a total of 25 deaths (1.5%; 9 in the TAU group and 16 in the IPS group)-none judged related to study interventions.
UNASSIGNED: In this first superiority randomised controlled trial of IPS in alcohol and drug dependence, IPS helped more people attain employment in the open competitive labour market than standard employment support. IPS was cost-effective for a QALY health outcome (£70,000 WTP threshold) for the AUD and DUD groups, and for additional days of employment for the AUD group (£200 per day worked WTP threshold).
UNASSIGNED: UK government Work and Health Unit.

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