Patterns of co-occurring addictions, posttraumatic stress disorder, and major depressive disorder in detoxification treatment seekers: Implications for improving detoxification treatment outcomes

Transdiagnosis of alcohol use and psychopathologies: A systematic review

Multiple diagnoses are the rule in Mental Health and alcohol use disorder (AUD) is a psychopathology with many comorbidities, requiring interventions that consider common factors, which means using a transdiagnostic perspective. This study aimed to identify in the scientific literature the main common transdiagnostic factors that link AUD to other psychopathologies in people over 18 years of age. A systematic review of the literature was carried out in the portals of the databases Pubmed, PsychINFO and CAPES. 37 articles were selected for analysis, which resulted in 25 transdiagnostic factors linked to AUD and to several other related disorders and health conditions. The results emphasize the variety of disorders and health conditions related to AUD, which highlights the importance of transdiagnostic factors for these conditions as targets for both scientific research and therapeutic interventions for this population.

Greater vulnerability to cannabis dependence among heavy cannabis user French women

BACKGROUND AND OBJECTIVES

Between 1990 and the mid-2010s, France registered a sharp rise in the spread and consumption of cannabis. At the same time, there has been an increase in the concentration of Δ9-tetrahydrocannabinol contained in cannabis. The aims of our study are to measure addictive and psychiatric comorbidities in cannabis users in France, and to compare characteristics between women and men.

METHODS

Three hundred and forty-two heavy cannabis users seen in a cannabis clinic between 2004 and 2014 were assessed during a 2-h clinical interview (DSM-IV, MINI).

RESULTS

83.2% of users are currently cannabis dependent, 10.6% alcohol dependent, and 2.1% cocaine/crack dependent. 37.8% have a current mood disorder, 47.6% have a current anxiety disorder, and 8.8% are psychotic. Women suffer significantly more often than men from major depressive episodes, dysthymia, agoraphobia, social phobia, generalized anxiety disorder and posttraumatic stress disorder (PTSD), both current and lifetime. Logistic regression shows that women have a significantly higher risk than men of suffering from PTSD over their lifetime (odds ratio [OR] = 5.48; p < 10-3). The vast majority of women suffering from PTSD report having been sexually assaulted in the course of their lives. In addition, women are at greater risk of cannabis dependence (OR = 3.87; p < .05) for lower cannabis consumption (grams smoked per week) (OR = 0.96; p < .05).

DISCUSSION AND CONCLUSIONS

French women heavy cannabis users are particularly at risk of PTSD and are more likely than men to be dependent despite consuming fewer.

SCIENTIFIC SIGNIFICANCE

Further studies are needed to clinically quantify cannabis consumption and distinguish its impact on women and men.

Comparison of Emotional Processing Between Patients with Substance Use Disorder and Those with Dual Diagnosis: Relationship with Severity of Dependence and Use During Treatment

This study analyzed, in a Spanish sample, the differences in emotional processing in patients diagnosed with substance use disorder (SUD) and patients with a dual diagnosis (DD), and tested whether alterations in emotional regulation were related to the severity of dependence and consumption during treatment. A descriptive follow-up study was conducted with 88 adult outpatients (83% men) who were receiving treatment for alcohol and cocaine SUD. Of the sample, 43.2% presented dual diagnosis according to DSM-IV-TR criteria. Emotional processing was assessed with the IAPS, and dependence severity with the SDSS. Consumption was determined with self-reports and toxicological tests. Regression analyses revealed that the DD group had more difficulties in identifying the valence and arousal of the images than patients with SUD. Patients with DD presented more difficulty in identifying images in which valence was manipulated, but not in those in which arousal was manipulated. Cocaine use during treatment was associated with difficulties in identifying unpleasant (U = 734.0; p < .05) and arousing (U = 723.5; p < .05) images. Although these results are preliminary, findings suggest that impaired emotional processing is aggravated in dual patients, although it may be a common transdiagnostic factor in SUD and other comorbid mental disorders. Findings highlight the importance of evaluating emotional regulation to better understand its possible role in the maintenance of substance use.

A comparison of two strategies to assess sexual violence: general vs. specialised trauma screening strategies in two high-risk substance use health disparity samples

Background/Objective: Using two different high-risk samples, the present study compared and contrasted two different strategies/questionnaire types for assessing a history of sexual violence: a general trauma screening vs. specialised behaviourally-specific questionnaires.Methods: Sample 1 included 91 men and women seeking detoxification treatment services in a publicly funded, urban clinic who completed a trauma and substance use questionnaire battery during treatment. Sample 2 included 310 women at a rural college who completed a trauma and religious coping questionnaire battery for course credit. All participants completed both types of questionnaires: One general trauma screening questionnaire (i.e. the Life Events Checklist [LEC]) and two behaviourally-specific specialised questionnaires (i.e. the 2007 Sexual Experiences Survey [SES] and the Childhood Trauma Questionnaire [CTQ]).Results: There were large differences in the cases identified by the behaviourally-specific questionnaires (SES and CTQ) compared to the general trauma screening questionnaire (the LEC) in both samples but few differences in the prevalence rates of sexual violence detected by each questionnaire type. In the detoxification sample, the differences were especially notable for men. Follow-up analyses indicated that degree of traumatisation impacted results likely by increasing participant's willingness to endorse face-valid items on the LEC.Conclusions: For men, the behaviourally-specific questionnaires (SES/CTQ) were necessary to identify cases. For those with more severe trauma histories, the LEC was equivalent to the SES/CTQ in identifying a similar number of sexual violence cases. Thus, clinicians and researchers should consider the population when selecting assessments to identify sexual violence history.

Patterns of polysubstance use and clinical comorbidity among persons seeking substance use treatment: An observational study

INTRODUCTION

Polysubstance use is common among individuals seeking treatment for substance use disorders (SUD). However, we know less about patterns and correlates of polysubstance use among treatment-seeking populations. The current study aimed to identify latent patterns of polysubstance use and associated risk factors in persons entering SUD treatment.

METHODS

Patients (N = 28,526) being admitted for substance use treatment reported on their use of thirteen substances (e.g., alcohol, cannabis, cocaine, amphetamines, methamphetamines, other stimulants, heroin, other opioids, benzodiazepines, inhalants, synthetics, hallucinogens, and club drugs) in the month before treatment and prior to the month before treatment. Latent class analysis (LCA) determined the relationship between class membership and gender, age, employment status, unstable housing, self-harm, overdose, past treatment, depression, generalized anxiety disorder, and/or post-traumatic stress disorder (PTSD).

RESULTS

Identified classes included: 1) Alcohol primary, 2) Moderate probability of past-month alcohol, cannabis, and/or opioid use; 3) Alcohol primary, Lifetime cannabis and cocaine use; 4) Opioid primary, Lifetime use of alcohol, cannabis, hallucinogens, club drugs, amphetamines, and cocaine; 5) Moderate probability of past-month alcohol, cannabis, and/or opioid use, Lifetime use of various substances; 6) Alcohol and cannabis primary, Lifetime use of various substances; and 7) High past-month polysubstance use. Individuals who engaged in past-month polysubstance use attended to face elevated risk of screening positive for recent unstable housing, unemployment, depression, anxiety, PTSD, self-harm, and overdose.

CONCLUSIONS

Current polysubstance use is associated with significant clinical complexity. Tailored treatments that reduce harms resulting from polysubstance use and related psychiatric comorbidity may improve treatment outcomes in this population.

A Grounded Theory of the Process of Healing From Opioid Addiction

The Centers for Disease Control and Prevention found that opioids are involved in almost 71% of all drug overdose deaths. Although there is increased attention on the lethal potential of opioid addiction, narratives about healing, wherein people have sustained long-term health and well-being from opioid addiction, are few. Our purpose with this study was to develop a biopsychosocial understanding of how people heal from opioid addiction, not only maintain abstinence. The Theory of Healing from Opioid Addiction yielded five categories, 15 themes, and seven subthemes. Results showed four phases of healing (i.e., Inactive Healing, Early Active Healing, Middle Active Healing, and Late Active Healing), four Continuous Core Components of healing (i.e., 12-Step Programs, Psychotherapy, Spirituality, and Relationships with Others), and 15 themes ranging from Substance Use Treatment to Effectively Processing Trauma to Self-Love. Participants’ ( N = 11) healing journey began during opioid addiction itself and continued through to the last phase of healing, wherein participants had transformed their lives and concretized a sense of personal empowerment.

Trauma-focused psychotherapies for post-traumatic stress disorder: A systematic review and network meta-analysis

INTRODUCTION

Meta-analytic reviews suggest similar outcomes across trauma-focused psychotherapies for adults with post-traumatic stress disorder (PTSD). However, this conclusion may be premature due to suboptimal statistical-review methodologies. Network meta-analysis (NMA) allows a detailed rank-ordering of the efficacy of established psychotherapy interventions derived from indirect evidence as well as results from direct head-to-head comparisons.

OBJECTIVE

We sought to determine the efficacy and attrition rates of psychotherapy interventions for PTSD by applying NMA.

METHODS

We searched EMBASE, PsychINFO, PTSDPubs and PubMed for randomised controlled trials that compared psychotherapies either head-to-head or against controls for adults with PTSD. A frequentist NMA was used to compare direct and indirect effects to determine the efficacy and attrition rates of psychotherapy interventions.

RESULTS

Of the 5649 papers identified, 82 trials comprising of 5838 patients were included. The network comprised 17 psychotherapies and four control conditions. Network estimates indicated superior efficacy of meta-cognitive therapy and cognitive processing therapy over other psychotherapies (ESs between = 0.26 and 2.32). Written exposure therapy and narrative exposure therapy were associated with lower risk of drop out when considered alongside other psychotherapies. Confidence in the network meta-analytic estimates was considered moderate for both outcomes.

CONCLUSIONS

In broad terms, therapeutic commensurability was evident. Nevertheless, with additional studies and larger sample sizes, meta-cognitive and written exposure therapies could indeed differentiate themselves from other approaches as having favourable efficacy and acceptability respectively. These findings may inform clinical decision-making, as well as guide future research for PTSD.

The Role of Pretreatment Expectancy on Substance Use Outcomes in Women Mandated to Mindfulness-Based Relapse Prevention

Background: More than one-third of justice-involved individuals meet the criteria for substance use disorder (SUD). Many studies show that treatment expectancy predicts longitudinal SUD outcomes; however, results are inconsistent, and the role of treatment expectancy on SUD outcomes for individuals mandated to a mindfulness-based intervention (MBI) is unknown. Mindfulness-based relapse prevention (MBRP) has shown efficacy with justice-involved populations; however, enrollment in MBRP is typically voluntary. The current study assessed whether pretreatment expectancy predicted SUD- and affect-related outcomes in a sample of women (n = 54) mandated to MBRP as part of their residential SUD programming. Method: The authors employed a quasiexperimental design and administered measures at pre-, mid-, and postcourse. Results: Following mandatory participation in MBRP, significant reductions in craving and substance use were observed. However, contrary to hypotheses, higher pretreatment expectancy predicted greater substance dependence at postcourse. Conclusions: Positive treatment expectancy within the context of an MBI was not related to favorable posttreatment outcomes; in fact, it was related to higher postcourse substance dependence. This suggests that MBIs may be suitable for mandated individuals who may not have voluntarily chosen to participate in such an intervention, and thus may have lower expectancy for the treatment. This finding needs to be replicated in a larger sample to warrant a firmer conclusion.

Valuation system connectivity is correlated with poly-drug use in young adults

Poly-drug consumption contributes to fatal overdose in more than half of all poly-drug users. Analyzing decision-making networks may give insight into the motivations behind poly-drug use. We correlated average functional connectivity of the valuation system (VS), executive control system (ECS) and valuation-control complex (VCC) in a large population sample (n = 992) with drug use behaviour. VS connectivity is correlated with sedative use, ECS connectivity is separately correlated with hallucinogens and opiates. Network connectivity is also correlated with drug use via two-way interactions with other substances including alcohol and tobacco. These preliminary findings can contribute to our understanding of the common combinations of substance co-use and associated neural patterns.

Evaluating the influences of major depression and posttraumatic stress disorder on trauma and alcohol cue reactivity

Despite support for the role of self-medication alcohol use in the etiology and maintenance of comorbid posttraumatic stress disorder (PTSD) and alcohol use disorder (AUD), theoretical and empirical models of PTSD-AUD rarely account for the role of common comorbidities in risk processes, such as major depressive disorder (MDD). The current study examined the main and interactive effects of PTSD and depressive symptoms on patterns of trauma and alcohol cue reactivity to elucidate potential influences of depression on conditioned craving responses to trauma memories. It was hypothesized that depressive symptoms would be associated with greater cue reactivity (i.e., craving and salivation) to personalized trauma cues, above and beyond the influence of PTSD symptoms. Participants were 184 trauma-exposed young adults (50% female) endorsing current weekly alcohol use. Patterns of craving and salivation were assessed in response to four combinations of narrative (trauma vs. neutral) and beverage (alcohol vs. water) cues. Forward-fitted linear mixed effects models with deviance testing were conducted to ascertain the impact of the within-subjects factors (narrative and beverage cues) and covariates (PTSD and depressive symptoms) on self-reported and physiological (salivation) alcohol craving. Depressive symptoms were associated with elevated drinking coping motives, AUD symptom severity, and alcohol use problems at baseline; however, depressive symptoms did not show main or interactive effects with narrative or beverage cues to predict craving or salivation, p's > 0.05. Results suggest that, in the context of PTSD symptoms, depressive symptoms may not exacerbate alcohol craving responses to trauma reminders or alcohol cues.

Coping strategy utilization among posttraumatic stress disorder symptom severity and substance use co-occurrence typologies: A latent class analysis

OBJECTIVE

There is a lack of research on primary prevention of posttraumatic stress disorder (PTSD) symptoms and substance use among trauma-exposed populations. To guide the development of more effective prevention efforts, the current study sought to identify underlying coping mechanisms that impact PTSD-substance use co-occurrence.

METHOD

A person-centered analytic approach (latent class analysis) examined PTSD-substance use co-occurrence typologies (classes) and identified theoretically adaptive (e.g., active coping) and maladaptive (e.g., denial) coping strategies that differentiated between classes among a sample of 1,270 trauma-exposed participants (Mage = 20.71, 73.5% female, 45.7% White).

RESULTS

Latent class analysis identified five distinct typologies, reflective of extant epidemiological and etiological work. Generally, behavioral disengagement and self-blame coping increased the likelihood of being in more severe PTSD-illicit substance use (e.g., cocaine) comorbidity classes. Positive reframing and planning differentiated between low and moderate illicit substance typologies with moderate PTSD severity. Venting, acceptance, and self-distraction differentiated between asymptomatic and moderate PTSD severity typologies with low illicit substance use.

CONCLUSIONS

Findings identify general coping strategies associated with increased likelihood of being in more severe comorbidity typologies, as well as several unique coping strategies associated with risk of transitioning between low/moderate PTSD and illicit substance use classes. Relevant interventions (e.g., trauma psychoeducation, guilt-reduction therapy, psychological first aid) that may be targets for future prevention-oriented work are discussed. (PsycInfo Database Record (c) 2020 APA, all rights reserved).

Diagnostic and Predictive Neuroimaging Biomarkers for Posttraumatic Stress Disorder

BACKGROUND

Comorbidity between posttraumatic stress disorder (PTSD) and major depressive disorder (MDD) has been commonly overlooked by studies examining resting-state functional connectivity patterns in PTSD. The current study used a data-driven approach to identify resting-state functional connectivity biomarkers to 1) differentiate individuals with PTSD (with or without MDD) from trauma-exposed healthy control subjects (TEHCs), 2) compare individuals with PTSD alone with those with comorbid PTSD+MDD, and 3) explore the clinical utility of the identified biomarkers by testing their associations with clinical symptoms and treatment response.

METHODS

Resting-state magnetic resonance images were obtained from 51 individuals with PTSD alone, 52 individuals with PTSD+MDD, and 76 TEHCs. Of the 103 individuals with PTSD, 55 were enrolled in prolonged exposure treatment. A support vector machine model was used to identify resting-state functional connectivity biomarkers differentiating individuals with PTSD (with or without MDD) from TEHCs and differentiating individuals with PTSD alone from those with PTSD+MDD. The associations between the identified features and symptomatology were tested with Pearson correlations.

RESULTS

The support vector machine model achieved 70.6% accuracy in discriminating between individuals with PTSD and TEHCs and achieved 76.7% accuracy in discriminating between individuals with PTSD alone and those with PTSD+MDD for out-of-sample prediction. Within-network connectivity in the executive control network, prefrontal network, and salience network discriminated individuals with PTSD from TEHCs. The basal ganglia network played an important role in differentiating individuals with PTSD alone from those with PTSD+MDD. PTSD scores were inversely correlated with within-executive control network connectivity (p < .001), and executive control network connectivity was positively correlated with treatment response (p < .001).

CONCLUSIONS

Results suggest that unique brain-based abnormalities differentiate individuals with PTSD from TEHCs, differentiate individuals with PTSD from those with PTSD+MDD, and demonstrate clinical utility in predicting levels of symptomatology and treatment response.

The relationship of cannabis decriminalization in Colorado and cannabis use in individuals with alcohol use disorders

OBJECTIVE

Over the past decade, cannabis use has become increasingly popular in states that include Colorado. During this time, alcohol use disorders (AUDs) and alcohol-related medical conditions have also been consistently recognized as public health problems with increasing prevalence in the state. Despite the widespread use of cannabis in Colorado, the epidemiology of cannabis use among those with AUDs has been poorly described. Therefore, we sought to examine cannabis use among individuals with likely AUDs and individuals with low-risk alcohol use during a time of major Colorado legislative changes before and after legalization of recreational cannabis in 2012.

METHODS

This study was a secondary data analysis conducted with information from 303 participants (80% male) in the Denver, CO metropolitan enrolled between August 2007 and April 2016 for studies related to alcohol and lung health. Of these participants, 188 (62%) were completing inpatient alcohol detoxification with likely AUDs. All participants completed the Alcohol Use Disorder Identification Test (AUDIT) to establish their likelihood of an AUD, and all had information on current cannabis use assessed by questionnaire and urine toxicology testing.

RESULTS

Individuals with likely AUDs more commonly used cannabis compared to control participants (42% vs 27%, p = 0.007). In multiple logistic regression analyses, participant type (likely AUD versus control), tobacco smoking, and age were significantly associated with cannabis smoking; however, the year of participant enrollment was not. Adjusted odds for cannabis use among participants with likely AUDs were 2.97 (1.51-5.82), p = 0.002, while odds for cannabis use among tobacco smokers were 3.67 (1.94-6.93), p < 0.0001. Among control participants, tobacco smoking increased odds of cannabis use seven-fold.

CONCLUSIONS

Our findings highlight the exceptionally high odds of cannabis use among individuals with likely AUDs undergoing alcohol detoxification at a Colorado treatment facility before and after legalization of recreational cannabis. Targeted investigations into the medical and psychiatric consequences of combined alcohol and cannabis use are urgently needed to define its health impact in these vulnerable individuals.

The opioid and related drug epidemics in rural Appalachia: A systematic review of populations affected, risk factors, and infectious diseases

Background/aims: To examine trends in rural Appalachian opioid and related drug epidemics during the past 10 years, including at-risk populations, substance use shifts and correlates, and associated infections. Methods: We conducted this review in accordance with the Preferred Reporting Items for Systematic Reviews (PRISMA) guidelines. Seven databases were searched for quantitative studies, published between January 2006 and December 2017, of drug use, drug-related mortality, or associated infections in rural Appalachia. Results: Drug-related deaths increased in study states, and a high incidence of polydrug toxicity was noted. Rural substance use was most common among young, white males, with low education levels. A history of depression/anxiety was common among study populations. Prescription opioids were most commonly used, often in conjunction with sedatives. Women emerged as a distinct user subpopulation, with different routes of drug use initiation and drug sources. Injection drug use was accompanied by risky injection behaviors and was associated with hepatitis C. Conclusions: This review can help to inform substance use intervention development and implementation in rural Appalachian populations. Those at highest risk are young, white males who often engage in polysubstance use and have a history of mental health issues. Differences in risk factors among other groups and characteristics of drug use in rural Appalachian populations that are conducive to human immunodeficiency virus (HIV) spread also warrant consideration.

Polydrug use disorders in individuals with opioid use disorder

BACKGROUND

Understanding the association of polydrug use disorders (PUD) with psychosocial and clinical factors is essential for the treatment of individuals with opioid use disorder (OUD). The aim of this study is to examine whether there is an association between childhood maltreatment, mood disorders, anxiety disorders, personality disorders, or posttraumatic stress disorder (PTSD) and PUD in individuals with OUD.

METHODS

We used data from 356 individuals with OUD in the past 12 months from a nationally representative database in the United States. PUD patients were classified into two groups: a group with additional one substance disorder (OUD + 1) and that with two or more additional substance disorders (OUD + 2). We conducted multivariate logistic regression to predict the PUD status, after adjustment for confounders including childhood maltreatment.

RESULTS

Among all individuals, 57.3% were polydrug users (n = 204) and 42.7% were not (n = 152). There was a high prevalence of childhood maltreatment in both groups, ranging from 16.1% to 59.5%, but the difference was not statistically significant. After adjustment for confounders, we found an association between past-year PTSD and OUD + 2 (odds ratio: 3.98; 95% confidence interval: 1.15-13.72; p = 0.03) but not with OUD + 1.

CONCLUSION

PTSD is highly prevalent in individuals with OUD using multiple substances and could influence PUD. We recommend screening for PTSD in cases of PUD. Future studies should evaluate the effect of PTSD treatment on PUD.

Heterogeneity in the Co-occurrence of Substance Use and Posttraumatic Stress Disorder: A Latent Class Analysis Approach

Objective: Posttraumatic stress disorder (PTSD) often co-occurs with substance use (SU). Although there has been independent research on subgroups of participants based on their PTSD or SU responses, rarely are PTSD-SU typologies examined consistent with a precision medicine approach (and corresponding person-centered statistical approaches). The current study examined the nature and construct validity (covariates of depression, physical aggression, verbal aggression, anger, hostility, reckless and self-destructive behaviors [RSDB]) of the best-fitting latent class solution in categorizing participants based on PTSD (PTSD Checklist for DSM-5) and alcohol/drug use responses (Alcohol Use and Disorders Identification Test Alcohol Consumption Questions, Drug Abuse Screening Test). Methods: The sample included 375 trauma-exposed participants recruited from Amazon's Mechanical Turk online labor market. Results: Latent class analyses indicated an optimal three-class solution (low PTSD/SU, moderate PTSD/drug and high alcohol, and high PTSD/SU). Multinomial logistic regressions indicated that depression (OR = 1.22) and frequency of RSDBs (OR = 1.20) were significant predictors of the moderate PTSD/drug and high alcohol class versus the low PTSD/SU class. Depression (OR = 1.55) and frequency of RSDBs (OR = 1.19) were significant predictors of the high PTSD/SU class versus the low PTSD/SU class. Only depression (OR = 1.27) was a significant predictor of the high PTSD/SU class versus the moderate PTSD/drug and high alcohol class. Conclusions: Results provide construct validity support for three meaningful latent classes with unique relations with depression and RSDBs. These findings improve our understanding of heterogeneous PTSD-SU comorbidity patterns and highlight acknowledgment of such subtyping (subgrouping) in considering differential treatment options, treatment effectiveness, and resource allocation.

Typologies of PTSD clusters and reckless/self-destructive behaviors: A latent profile analysis

Posttraumatic stress disorder (PTSD) is comorbid with diverse reckless and self-destructive behaviors (RSDBs). We examined the nature and construct validity (covariates of age, gender, depression severity, number of trauma types, functional impairment) of the optimal class solution categorizing participants based on PTSD symptom and RSDB endorsement. The sample included 417 trauma-exposed individuals recruited through Amazon's MTurk platform who completed the Life Events Checklist for DSM-5, PTSD Checklist for DSM-5, the Posttrauma Risky Behaviors Questionnaire, and Patient Health Questionnaire-9. Latent profile analyses indicated an optimal three-class solution: the Low PTSD-RSDBs, High PTSD-Low RSDBs, and High PTSD-RSDBs classes. Multinomial logistic regression indicated that impairment and depression predicted the High PTSD-Low RSDBs vs. the Low PTSD-RSDBs classes. Impairment, age, being female, and depression predicted the High vs. Low PTSD-RSDBs classes. Number of trauma types, age, being female, and depression predicted the High PTSD-RSDBs vs. High PTSD-Low RSDBs classes. Results support the presence of a reckless behaviors subtype of PTSD (characterized by greater depression, greater impariment, greater number of trauma types, being male, and being younger), conducting comprehensive assessments of RSDBs for individuals reporting PTSD symptoms and of PTSD symptoms for individuals reporting RSDBs, and the need to tailor interventions to treat PTSD and RSDBs concurrently.

Randomized controlled trial of enhanced telephone monitoring with detoxification patients: 3- and 6-month outcomes

Telehealth interventions have the potential to deter repeated detoxification episodes and improve outcomes. Using a sample of 298 detoxification inpatients, this randomized controlled trial compared Enhanced Telephone Monitoring (ETM) to usual care (UC) on the primary outcome of reducing subsequent detoxification, and secondary outcomes of linking patients to addiction treatment and mutual-help, and patients' experience of improved substance use and mental health outcomes. At the 3-month follow-up (i.e., at the end of the ETM intervention), compared to UC patients, ETM patients were significantly less likely to have received additional inpatient detoxification, but no more likely to have participated in 12-step groups or received outpatient addiction treatment. Even so, ETM patients had better alcohol, drug, and mental health outcomes. In contrast, at the 6-month follow-up, patients in ETM and UC generally did not differ on primary or secondary outcomes. Findings suggest that ETM deters additional detoxification episodes while the intervention is ongoing, but not after the intervention ends. Because telephone monitoring is low-intensity and low-cost, its extension over time may help reduce repeated detoxifications.

Improving our understanding of the relationship between emotional abuse and substance use disorders: the mediating roles of negative urgency and posttraumatic stress disorder

Background: Emotional abuse is associated with an increased risk for substance use disorders (SUDs) as well as with negative urgency and posttraumatic stress disorder (PTSD) following a subsequent trauma. Both negative urgency and PTSD are key contributors to the relationship between emotional abuse and SUDs when examined separately. A comprehensive model including both factors can inform models of PTSD-SUD comorbidity. Furthermore, the comparison of these mechanistic roles in emotional versus other types of abuse can shed light on the specificity of these effects. Objectives: The present study tested whether negative urgency and PTSD symptom severity serially mediated the relationship between emotional abuse and substance use across two separate samples. Method: Participants were recruited from a detoxification center and completed a battery of surveys examining abuse history, PTSD symptom severity, and impulsivity measures including negative urgency and substance use history during the last 3 months. The samples consisted of predominantly (59% and 62%) males with an average age of 35 (age range: 18-65). The majority of participants (90% and 93%) were Caucasian. Results: Study 1 (N = 368) and Study 2 (N = 274) both found that negative urgency and PTSD symptom severity serially mediated the relationship between emotional abuse and substance use. When comparing indirect effects, both contributed equally. Conclusion: These findings suggest that negative urgency and PTSD symptom severity together account more for the link between emotional abuse and SUDs than either alone and argue for the inclusion of negative urgency in models of PTSD-SUD comorbidity.

Mechanisms and Clinical Features of Co-occurring Opioid and Nicotine Use

Purpose of review

To review the literature addressing shared pathophysiological and clinical features of opioid and nicotine use to inform etiology and treatment, and highlight areas for future research.

Recent findings

Opioid and nicotine use co-occur at an alarmingly high rate, and this may be driven in part by interactions between the opioid and cholinergic systems underlying drug reward and the transition to dependence. Pain, among other shared risk factors, is strongly implicated in both opioid and nicotine use and appears to play an important role in their co-occurrence. Additionally, there are important sex/gender considerations that require further study. Regarding treatment, smoking cessation can improve treatment outcomes in opioid use disorder, and pharmacological approaches that target the opioid and cholinergic systems may be effective for treating both classes of substance use disorders.

Summary

Understanding overlapping etiological and pathophysiological mechanisms of opioid and nicotine use can aid in understanding their co-occurrence and guiding their treatment.