Contemporary perspective on addictive behaviors: underpinning mechanisms, assessment, and treatment

This special issue gathered contributions from authors in the scientifc community working on addictive behaviors. In particular, authors were solicited to relate about underpinning mechanisms, assessment protocols, and intervention programs that are currently proposed for substance abuse, Internet addiction, and other forms of problematic conducts in pediatric populations, adolescence, and adulthood. Most of the papers used a biopsychosocial model for the onset and maintaining of addictive behaviors and their comorbidities with other psychopathologies. Although the intent was accept contributions focused on all forms of addictive behaviors, this special issue is composed of four papers concerning problematic use of the web and two articles focusing on substance use. Of note, all papers addressed the developmental phases of childhood and adolescence

Neuropsychological deficits in young drug addicts

Background: Adolescence is a highly vulnerable age for experimenting with drugs; increasing evidence attests that several substances might have detrimental effects on cognitive functioning in this developmental phase, when prefrontal brain areas are still immature and may actually be the main target of the neurotoxic effects of drugs. There are still, in any case, too few studies that specifically address early adulthood. Aim: The present study aims to investigate neuropsychological performance in young drug addicts in residential treatment (aged 18-24). Methods: 41 young drug addicts, after admission to residential treatment, were compared with 27 subjects in the control group. A battery of neuropsychological tests (Brief Neuropsychological Exam-2) was administered to detect possible cognitive impairments. Descriptive and non-parametric statistics (Pearson’s chi square test) were performed. Results and conclusions: Findings suggest that drug dependence in youth is distinguished by neuropsychological deficits, in particular, attention and executive function impairments – issues that now call for tailored and innovative treatment approaches

Non-medical Cannabis Self-Exposure as a Dimensional Predictor of Opioid Dependence Diagnosis: A Propensity Score Matched Analysis

Background: The impact of increasing non-medical cannabis use on vulnerability to develop opioid use disorders has received considerable attention, with contrasting findings. A dimensional analysis of self-exposure to cannabis and other drugs, in individuals with and without opioid dependence (OD) diagnoses, may clarify this issue.Objective: To examine the age of onset of maximal self-exposure to cannabis, alcohol, cocaine, and heroin, in volunteers diagnosed with OD, using a rapidly administered instrument (the KMSK scales). To then determine whether maximal self-exposure to cannabis, alcohol, and cocaine is a dimensional predictor of odds of OD diagnoses.Methods: This outpatient observational study examined maximal self-exposure to these drugs, in volunteers diagnosed with DSM-IV OD or other drug diagnoses, and normal volunteers. In order to focus more directly on opioid dependence diagnosis as the outcome, volunteers who had cocaine dependence diagnoses were excluded. Male and female adults of diverse ethnicity were consecutively ascertained from the community, and from local drug treatment programs, in 2002–2013 (n = 574, of whom n = 94 had OD diagnoses). The age of onset of maximal self-exposure of these drugs was examined. After propensity score matching for age at ascertainment, gender, and ethnicity, a multiple logistic regression examined how increasing self-exposure to non-medical cannabis, alcohol and cocaine affected odds of OD diagnoses.Results: Volunteers with OD diagnoses had the onset of heaviest use of cannabis in the approximate transition between adolescence and adulthood (mean age = 18.9 years), and onset of heaviest use of alcohol soon thereafter (mean age = 20.1 years). Onset of heaviest use of heroin and cocaine was detected later in the lifespan (mean ages = 24.7 and 25.3 years, respectively). After propensity score matching for demographic variables, we found that the maximal self-exposure to cannabis and cocaine, but not to alcohol, was greater in volunteers with OD diagnoses, than in those without this diagnosis. Also, a multiple logistic regression detected that increasing self-exposure to cannabis and cocaine, but not alcohol, was a positive predictor of OD diagnosis.Conclusions/Importance: Increasing self-exposure to non-medical cannabis, as measured with a rapid dimensional instrument, was a predictor of greater odds of opioid dependence diagnosis, in propensity score-matched samples

Subtyping patients with heroin addiction at treatment entry: factor derived from the Self-Report Symptom Inventory (SCL-90)

<p>Abstract</p> <p>Background</p> <p>Addiction is a relapsing chronic condition in which psychiatric phenomena play a crucial role. Psychopathological symptoms in patients with heroin addiction are generally considered to be part of the drug addict's personality, or else to be related to the presence of psychiatric comorbidity, raising doubts about whether patients with long-term abuse of opioids actually possess specific psychopathological dimensions.</p> <p>Methods</p> <p>Using the Self-Report Symptom Inventory (SCL-90), we studied the psychopathological dimensions of 1,055 patients with heroin addiction (884 males and 171 females) aged between 16 and 59 years at the beginning of treatment, and their relationship to age, sex and duration of dependence.</p> <p>Results</p> <p>A total of 150 (14.2%) patients with heroin addiction showed depressive symptomatology characterised by feelings of worthlessness and being trapped or caught; 257 (24.4%) had somatisation symptoms, 205 (19.4%) interpersonal sensitivity and psychotic symptoms, 235 (22.3%) panic symptomatology, 208 (19.7%) violence and self-aggression. These dimensions were not correlated with sex or duration of dependence. Younger patients with heroin addiction were characterised by higher scores for violence-suicide, sensitivity and panic anxiety symptomatology. Older patients with heroin addiction showed higher scores for somatisation and worthlessness-being trapped symptomatology.</p> <p>Conclusions</p> <p>This study supports the hypothesis that mood, anxiety and impulse-control dysregulation are the core of the clinical phenomenology of addiction and should be incorporated into its nosology.</p

Toward the Identification of a Specific Psychopathology of Substance Use Disorders

Addiction is a mental illness in which psychiatric conditions imply a prominent burden. Psychopathological symptoms in substance use disorder (SUD) patients are usually viewed as being assignable to the sphere of a personality trait or of comorbidity, leaving doubts about the presence of a specific psychopathology that could only be related to the toxicomanic process. Our research group at the University of Pisa has shed light on the possible definition of a specific psychopathological dimension in SUDs. In heroin use disorder patients, performing an exploratory principal component factor analysis (PCA) on all the 90 items included in the SCL-90 questionnaire led to a five-factor solution. The first factor accounted for a depressive “worthlessness and being trapped” dimension; the second factor picked out a “somatic symptoms” dimension; the third identified a “sensitivity–psychoticism” dimension; the fourth a “panic–anxiety” dimension; and the fifth a “violence–suicide” dimension. These same results were replicated by applying the PCA to another Italian sample of 1,195 heroin addicts entering a Therapeutic Community Treatment. Further analyses confirmed the clusters of symptoms, independently of demographic and clinical characteristics, active heroin use, lifetime psychiatric problems, kind of treatment received, and, especially, other substances used by the patient such as alcohol or cocaine. Moreover, these clusters were able to discriminate patients affected by addiction from those affected by psychiatric diseases such as major depressive disorder. Our studies seem to suggest the trait-dependent, rather than the state-dependent, nature of the introduced psychopathology dimensions of SUDs

Adult-Attention Deficit Hyperactive Disorder Symptoms Seem Not to Influence the Outcome of an Enhanced Agonist Opioid Treatment: A 30-Year Follow-Up

The role of opioids and opioid medications in ADHD symptoms is still largely understudied. We tested the hypothesis that, in Heroin Use Disorder (HUD), when patients are treated with Agonist Opioid medications (AOT), treatment outcome is associated with the presence of Adult Attention-Deficit/Hyperactive Disorder (A-ADHD) symptomatology. A retrospective cohort study of 130 HUD patients in Castelfranco Veneto, Italy, covering 30 years, was divided into two groups according to the Adult ADHD Self-Report Scale (ASRS) score and compared them using demographic, clinical and pharmacological factors. Survival in treatment was studied by utilizing the available data for leaving treatment and relapsing into addictive behavior and for mortality during treatment as poor primary outcomes. Thirty-five HUD subjects (26.9%) were unlikely to have A-ADHD symptomatology, and 95 (73.1%) were likely to have it. Only current age and co-substance use at treatment entry differed significantly between groups. Censored patients were 29 (82.9%) for HUD patients and 70 (73.9%) for A-ADHD/HUD patients (Mantel-Cox test = 0.66 p = 0.415). There were no significant linear trends indicative of a poorer outcome with the presence of A-ADHD after adjustment for demographic, clinical and pharmacological factors. Conclusions: ADHD symptomatology does not seem to exert any influence on the retention in AOT of HUD patients

The Conceptual Framework of Dual Disorders and Its Flaws

When psychiatric illness and substance use disorder coexist, the clinical approach to the patient is, unsurprisingly, awkward. This fact is due to a cultural context and, more directly, to the patient&rsquo;s psychiatric condition and addiction behaviors&mdash;a situation that does not favor a scientific approach. In dual disorder facilities, several types of professionals work together: counselors, social workers, psychologists, and psychiatrists. Treatment approaches vary from one service to another and even within the same service. It is crucial to provide dual disorder patients with multiple treatments, comprising hospitalization, rehabilitative and residential programs, case management, and counselling. Still, when treating dual disorder (DD) heroin use disorder (HUD) patients, it is advisable to follow a hierarchical algorithm. First, we must deal with addiction: by detoxification, whenever possible. This means starting most patients on anti-craving pharmacological maintenance, though aversion therapy may be appropriate for a few of them. Opiate antagonists may be used with heroin-addicted patients as long as those patients are only mildly ill. In contrast, agonist opioid medications, i.e., buprenorphine and methadone suit moderately and severely ill patients, respectively. Achieving control of mood instability or psychotic episodes is the next step, to be followed by a prevention strategy to counteract residual cravings and dominate mood disorders or psychotic episodes through long-term pharmacological maintenance that is focused on a double target

Is Trazodone Contramid Useful in Inducing Patients to Refrain from Using Cocaine after Detoxification, so Avoiding Early Relapse? A Case Series

Objectives: So far, no specific medication has been approved by international drug regulatory agencies for the treatment of cocaine use disorder (CoUD). The reward deficiency syndrome (dysphoric-depressive) was originally described as an outcome after detoxification; it is now considered to be one of the possible routes to relapsing behavior. Materials and Methods: We describe the case of 9 consecutive patients affected by mono CoUD. They voluntarily stopped cocaine use for almost 2 weeks, after daily use for almost 2 months, entering into a dysphoric-depressive syndrome and experiencing a high level of craving for cocaine. All patients received trazodone contramid once a day, at bedtime, at an initial dose of 150 mg the first week, upgraded to 300 mg starting with the second week of treatment; they were followed up for 6 months. Results: Only 1 patient failed to complete 6-month follow-up, relapsing many times into cocaine use during the observational period. Another patient completed the follow-up while improving his psychiatric symptoms but relapsing 3 times into cocaine use. In total, 7/9 patients (77.8%) improved their psychiatric symptoms and, 6 months after starting therapy, remained cocaine-detoxified. Conclusions: The present case series shows that trittico contramid is probably able to positively modify psychopathologic symptomatology and cocaine craving in CoUD patients who voluntarily stopped cocaine use but were at high risk of early relapse. The current need is for controlled clinical trials to confirm the safety and efficacy of trittico contramid in avoiding early relapse in cocaine self-detoxified patients