Health profiles of clients in substance abuse treatment: a comparison of clients dependent on alcohol or cocaine with those concurrently dependent

Polysubstance addiction patterns among 7,989 individuals with cocaine use disorder

To characterize polysubstance addiction (PSA) patterns of cocaine use disorder (CoUD), we performed a latent class analysis (LCA) in 7,989 participants with a lifetime DSM-5 diagnosis of CoUD. This analysis identified three PSA subgroups among CoUD participants (i.e., low, 17%; intermediate, 38%; high, 45%). While these subgroups varied by age, sex, and racial-ethnic distribution (p < 0.001), there was no difference with respect to education or income (p > 0.05). After accounting for sex, age, and race-ethnicity, the CoUD subgroup with high PSA had higher odds of antisocial personality disorder (OR = 21.96 vs. 6.39, difference-p = 8.08✕10-6), agoraphobia (OR = 4.58 vs. 2.05, difference-p = 7.04✕10-4), mixed bipolar episode (OR = 10.36 vs. 2.61, difference-p = 7.04✕10-4), posttraumatic stress disorder (OR = 11.54 vs. 5.86, difference-p = 2.67✕10-4), antidepressant medication use (OR = 13.49 vs. 8.02, difference-p = 1.42✕10-4), and sexually transmitted diseases (OR = 5.92 vs. 3.38, difference-p = 1.81✕10-5) than the low-PSA CoUD subgroup. These findings underscore the importance of modeling PSA severity and comorbidities when examining the clinical, molecular, and neuroimaging correlates of CoUD.

Polysubstance addiction and psychiatric, somatic comorbidities among 7,989 individuals with cocaine use disorder: a latent class analysis

Aims

We performed a latent class analysis (LCA) in a sample ascertained for addiction phenotypes to investigate cocaine use disorder (CoUD) subgroups related to polysubstance addiction (PSA) patterns and characterized their differences with respect to psychiatric and somatic comorbidities.

Design

Cross-sectional study.

Setting

United States.

Participants

Adult participants aged 18-76, 39% female, 47% African American, 36% European American with a lifetime DSM-5 diagnosis of CoUD (N=7,989) enrolled in the Yale-Penn cohort. The control group included 2,952 Yale-Penn participants who did not meet for alcohol, cannabis, cocaine, opioid, or tobacco use disorders.

Measurements

Psychiatric disorders and related traits were assessed via the Semi-structured Assessment for Drug Dependence and Alcoholism. These features included substance use disorders (SUD), family history of substance use, sociodemographic information, traumatic events, suicidal behaviors, psychopathology, and medical history. LCA was conducted using diagnoses and diagnostic criteria of alcohol, cannabis, opioid, and tobacco use disorders.

Findings

Our LCA identified three subgroups of PSA (i.e., low, 17%; intermediate, 38%; high, 45%) among 7,989 CoUD participants. While these subgroups varied by age, sex, and racial-ethnic distribution (p<0.001), there was no difference on education or income (p>0.05). After accounting for sex, age, and race-ethnicity, the CoUD subgroup with high PSA had higher odds of antisocial personality disorder (OR=21.96 vs. 6.39, difference-p=8.08×10 -6 ), agoraphobia (OR=4.58 vs. 2.05, difference-p=7.04×10 -4 ), mixed bipolar episode (OR=10.36 vs. 2.61, difference-p=7.04×10 -4 ), posttraumatic stress disorder (OR=11.54 vs. 5.86, difference-p=2.67×10 -4 ), antidepressant medication use (OR=13.49 vs. 8.02, difference-p=1.42×10 -4 ), and sexually transmitted diseases (OR=5.92 vs. 3.38, difference-p=1.81×10 -5 ) than the low-PSA CoUD subgroup.

Conclusions

We found different patterns of PSA in association with psychiatric and somatic comorbidities among CoUD cases within the Yale-Penn cohort. These findings underscore the importance of modeling PSA severity and comorbidities when examining the clinical, molecular, and neuroimaging correlates of CoUD.

A latent class analysis of the past-30-day substance use patterns among lifetime cocaine users: Findings from a community sample in North Central Florida

Objectives

Cocaine use is increasing and many cocaine users engage in polysubstance use. Within polysubstance use, relationships among use of individual substances are necessarily complex. To address this complexity, we used latent class analysis (LCA) to identify patterns of polysubstance use among lifetime cocaine users and examine associations among these patterns, demographics, and risk profiles.

Methods

Members of HealthStreet, an ongoing community engagement program, were asked about lifetime and past 30-day use of cocaine, alcohol, tobacco, marijuana, and prescription medications, mental health conditions, recent Emergency Department (ED) visits and demographics. LCA was used to identify classes of past 30-day polysubstance use among individuals who endorsed lifetime cocaine use. Multinomial logistic regression identified factors associated with these classes.

Results

Among 1797 lifetime cocaine users, a five-class LCA model was identified: 1) past 30-day tobacco use only (45%), 2) past 30-day alcohol, marijuana and tobacco use (31%), 3) past 30-day tobacco, prescription opioid and sedative use (13%), 4) past 30-day cocaine, alcohol, marijuana and tobacco use (9%), 5) past 30-day cocaine and multiple polysubstance use (2%). Demographics, ED visits and mental health conditions were associated with class membership.

Conclusions

Approximately 11% of lifetime cocaine users used cocaine in the past 30 days with two different concurrent substance use patterns. Prescription medication (opioids and sedatives) and complex polysubstance use patterns were stronger indicators of negative outcomes than current cocaine use. Cocaine was not used frequently with other stimulants. In addition to polysubstance use, prescription medication use should be targeted for intervention among lifetime cocaine users.

HealthCall delivered via smartphone to reduce co-occurring drug and alcohol use in HIV-infected adults: A randomized pilot trial

AIMS

Co-occurrence of drug and alcohol use among people living with HIV is linked to poor medication adherence and lack of viral suppression. HealthCall, a technological enhancement of brief Motivational Interviewing (MI), involves brief daily self-monitoring, positive reinforcement, and personalized feedback. This randomized pilot study among people living with HIV investigated the feasibility and efficacy of reducing non-injection drug and alcohol use with MI+HealthCall as adapted for smartphone technology.

DESIGN

An urban, largely-minority community sample of adults living with HIV were screened for eligibility: last 30 day use of non-injection drugs (≥4days of crack/cocaine, methamphetamine, or heroin use) and binge drinking (≥1day of 4+ standard drinks). Those eligible were randomized to one of two groups: MI-only (n=21) and MI+HealthCall-S (n=21). Trained counselors delivered the brief MI at baseline. Drug and alcohol use assessments were completed at baseline, 30 and 60days (end of treatment). Primary outcomes derived from a Timeline Follow Back (TLFB) of the past 30 days included (1) total number of days used primary drug (NumDU) (2) total quantity of primary drug used (dollar amount spent per day; QuantU), (3) total number of drinking days (NumDD) and (4) mean number of drinks per day (QuantDD). Feasibility was determined by HealthCall use rates, patient satisfaction questionnaire (1-5 scale, 5 being best), and retention.

FINDINGS

The median daily use rate for HealthCall was 95%, patient satisfaction was excellent (4.5) and retention was high (93%). Both treatment groups reduced drug and alcohol use by end of treatment, with MI+Healthcall-S showing significantly greater reductions than MI-only in QuantU (p=0.01) and NumDU (p=0.046). P-values for reductions in alcohol quantity and frequency in the MI+Healthcall group were 0.09-0.11.

CONCLUSIONS

This proof-of-concept randomized trial indicates that HealthCall on the smartphone is a highly feasible intervention in urban, minority individuals with HIV, and suggests efficacy in reducing co-occurring drug and alcohol use. Results suggest opportunities for brief behavioral intervention that may be enhanced through interactive mobile technology to address complex alcohol and drug use patterns that interfere with HIV care, medication adherence and ultimately, viral suppression. A larger randomized trial is warranted to replicate and extend present results.

Does history of substance use disorder predict acute traumatic brain injury rehabilitation outcomes?

BACKGROUND/OBJECTIVE

The study explored whether premorbid substance use disorder (SUD) predicts acute traumatic brain injury (TBI) outcomes.

METHODS

143 participants with moderate (34.2%) and severe (65.8%) TBI were enrolled at two Level 1 trauma center inpatient brain injury rehabilitation units. Acute outcomes were measured with the Disability Rating Scale (DRS), the FIMTM; self and informant ratings of the Patient Competency Rating Scale (PCRS); self and family rating of the Frontal Systems Behavioral Scale (FrSBe), and the Neurobehavioral Rating Scale-Revised (NRS-R).

RESULTS

Hierarchical linear modeling revealed that SUD history significantly predicted trajectories of PCRS clinician ratings, PCRS self-family and PCRS self-clinician discrepancy scores, and more negative FrSBE family ratings. These findings indicate comparatively greater post-injury executive functions (EF) impairments, particularly self-awareness (SA) of injury-related deficits, for those with SUD history. No significant SUD*time interaction effect was found for FIM or NRS-R scores.

CONCLUSIONS

SUD history and TBI are associated with impaired SA and EF but their co-occurrence is not a consistent predictor of acute post-injury functional outcomes. Pre-morbid patient characteristics and rater expectations and biases may moderate associations between SA and recovery after TBI.

Substance Use and Adherence Among People Living with HIV/AIDS Receiving cART in Latin America

This cross-sectional study describes substance use prevalence and its association with combination antiretroviral therapy (cART) adherence among 3343 individuals receiving care at HIV clinics in Argentina, Brazil, Chile, Honduras, Mexico, and Peru. A rapid screening tool evaluated self-reported 7-day recall of alcohol, marijuana, cocaine, heroin, and methamphetamine use, and missed cART doses. Overall, 29.3 % individuals reported having ≥1 alcoholic drinks, 5.0 % reported any illicit drug use and 17.0 % reported missed cART doses. In the logistic regression model, compared to no substance use, alcohol use [adjusted odds ratio (AOR) = 2.46, 95 % confidence interval (CI): 1.99-3.05], illicit drug use (AOR = 3.57, 95 % CI: 2.02-6.30), and using both alcohol and illicit drugs (AOR = 4.98, 95 % CI: 3.19-7.79) were associated with missed cART doses. The associations between substance use and likelihood of missing cART doses point to the need of targeting alcohol and illicit drug use to improve adherence among people living with HIV in Latin America.

The rate ratio of injury and aggressive incident for alcohol alone, cocaine alone and simultaneous use before the event: a case-crossover study

OBJECTIVES

(i) To estimate the rate ratio (RR) of use of alcohol alone, cocaine alone, and both substances simultaneously on acute injury or an aggressive incident, (ii) to compare the RRs for simultaneous use within 3 or 6h of the event; and (iii) to compare the RRs of two measures of exposure, "hours of feeling effects" vs estimates based on self-reported quantity and frequency of use.

METHODS

The study employed a case-crossover design with the frequency approach. Clients (N=616) in substance abuse treatment for alcohol or cocaine issues from 2009 to 2012 completed a self-administered questionnaire on their substance use within 3 and 6h before a recent injury or physically aggressive incident. Clients also reported detailed quantity and frequency information in relation to their typical substance use, as well as information on "feeling effects". The RR of acute harms due to substance use was estimated using the Mantel-Haenszel estimator.

RESULTS

In the 6-h window before the event, use of cocaine alone, alcohol alone and simultaneous alcohol and cocaine use were each significantly (P<0.05) related to a recent injury and aggressive incident. Simultaneous use was not significantly greater than use of either drug alone. Estimates of RR based on simultaneous use for a 3-h window before the event were consistently larger than those based on a 6-h window, and comparisons were significant (P<0.05) for an aggressive incident but not an injury. With reference to the two measures of exposure, three of eight comparisons of RRs were significantly larger for feeling the effects of the substance in comparison to quantity and frequency of substance use.

CONCLUSION

These findings are consistent with increased likelihood of harms related to the acute effects of alcohol alone, cocaine alone or simultaneous use. The results are suggestive that the acute effects of these drugs may be better measured within a 3-h time window than a 6-h window. Finally, we found that "hours of feeling effects" yielded higher estimates of RR than the quantity-frequency approach; however both measures support the overall findings.