20 research outputs found
Remarkable Reduction of Cocaine Use in Dual Disorder (Adult Attention Deficit Hyperactive Disorder/Cocaine Use Disorder) Patients Treated with Medications for ADHD
Background: Cocaine use disorder (CUD) is a growing public health concern, but so far no effective pharmacotherapies have been demonstrated. Stimulant medications have proved to be promising in CUD treatment. The self-medication hypothesis (SMH) can help to explain this phenomenon better, especially in cases where CUD co-occurs with adult attention deficit hyperactivity disorder (A-ADHD). Methods: In the present retrospective study, a sample of 20 consecutive patients (aged from 18 to 65 years) with dual disorder (A-ADHD/CUD), under treatment with methylphenidate (MPH) or atomoxetine (ATM) medications, was followed to study the effects of A-ADHD treatment on cocaine use. Patients were followed for a mean period of 7 months (minimum 1, maximum 30 months). All individuals were assessed with standardized questionnaires to evaluate diagnosis, treatment efficacy, and clinical improvement. Results: the results showed that behaviors reflecting cocaine addiction were sharply reduced during the stimulant treatment of A-ADHD, and were not correlated with age, gender, familiarity, length of treatment, or medication used. CUD improvement was closely correlated with the A-ADHD improvement. This study supports the validity of the SMH in ADHD patients with co-occurring CUD
Portraits, painters, patrons. To the 16–17<sup>th</sup> century history of portraiture in areas of the Hungarian kingdom
Symptomatological variants and related clinical features in adult attention deficit hyperactive disorder
A large amount of the current literature has focused on the characteristic symptoms of attention deficit hyperactivity disorder (ADHD) in children and adolescents. In contrast, less attention has been devoted to ADHD clinical subtypes in adult patients. We evaluated 164 consecutive adult ADHD (A-ADHD) outpatients using DSM-5 criteria and many specific rating scales and questionnaires. A principal component factor analysis was performed on clinical and symptomatological variables to describe potential clinical variants. We sought to determine different A-ADHD variants focusing on demographic and clinical features. A four-factor solution was identified, and patients were clustered, according to their z-score, in 4 subgroups. The first was marked out by Emotional Dysregulation (ED), the second by Substance Use (SU), the third by Core-ADHD Symptoms (Co-ADHD) and the fourth by Positive Emotionality (PE). Predominantly ED patients showed worse overall function, early treatment with antidepressants and a greater presence of borderline personality disorder than predominantly Co-ADHD patients. Predominantly SU patients reported high rates of bipolar disorder and severe general psychopathology. The PE factor was related to hyperthymic temperament and hypomania and showed a higher level of functioning. Females with A-ADHD showed a lower risk of being included in SU, and A-ADHD patients with co-occurring delayed sleep phase had less risk of being included in the SU factor than the prevailing Co-ADHD group. Our empirically based description of four clinical A-ADHD variants shows several aspects beyond the definition given by the DSM-5 diagnostic criteria
Influence of substance use disorder on treatment retention of adult-attention-deficit/hyperactive disorder patients. A 5-year follow-up study
Attention-Deficit/Hyperactivity Disorder (ADHD) is the most widespread neurodevelopmental disorder, and it still persists into adulthood in 2–6% of the population. Psychiatric comorbidities are very common in adult ADHD (A-ADHD) patients; in particular, Substance Use Disorder (SUD) is found in 40% of these patients. Co-occurrence of ADHD and SUD is described as detrimental to clinical outcome by many authors, while only a few studies describe good clinical results in A-ADHD-SUD patients when they were treated for ADHD, both for the efficacy and the compliance of patients. In this study we tested to determine whether SUD can influence the treatment outcome of A-ADHD patients by correlating lifetime, past and current substance use in A-ADHD patients with their outcome (retention rate) during a 5-year follow-up of patients treated with stimulant and non-stimulant medications, using Kaplan–Meier survival analysis with overall and pairwise comparison. The association between demographic, symptomatological and clinical aspects with retention in treatment, adjusting for potential confounding factors, was summarized using Cox regression. After 5 years of observation, the cumulative treatment retention was 49.0%, 64.3% and 41.8% for A-ADHD patients without lifetime SUD (NSUD/A-ADHD), A-ADHD with past SUD (PSUD/A-ADHD) and A-ADHD with current SUD (CSUD/A-ADHD), respectively. Overall comparisons were not significant (Wilcoxon Rank-Sum (statistical) Test = 1.48; df = 2; p = 0.477). The lack of differences was confirmed by a Cox regression demonstrating that the ADHD diagnosis according to DIVA, gender, education, civil status, presence of psychiatric comorbidity, and psychiatric and ADHD familiarity; severity of symptomatological scales as evaluated by WHODAS, BPRS, BARRAT, DERS, HSRS, and ASRS did not influence treatment drop-out (x2 22.30; df = 20 p = 0.324). Our A-ADHD-SUD patients have the same treatment retention rate as A-ADHD patients without SUD, so it seems that substance use comorbidity does not influence this clinical parameter
Does cannabis, cocaine and alcohol use impact differently on adult attention deficit/hyperactivity disorder clinical picture?
While the association between adult Attention Deficit/Hyperactivity Disorder (A-ADHD) and Substance Use Disorders (SUDs) has been widely explored, less attention has been dedicated to the various substance use variants. In a previous paper, we identified two variants: type 1 (use of stimulants/alcohol) and type 2 (use of cannabinoids). In this study, we compared demographic, clinical and symptomatologic features between Dual Disorder A-ADHD (DD/A-ADHD) patients according to our substance use typology, and A-ADHD without DD (NDD/A-ADHD) ones. NDD patients were more frequently diagnosed as belonging to inattentive ADHD subtype compared with type 1 DD/A-ADHD patients, but not with respect to type 2 DD/ADHD. NDD/A-ADHD patients showed less severe symptoms of hyperactivity/impulsivity than DD/A-ADHD type 1, but not type 2. Type 1 and type 2 patients shared the feature of displaying higher impulsiveness than NDD/AADHD ones. General psychopathology scores were more severe in type 2 DD/ADHD patients, whereas type 1 patients showed greater similarity to NDD/A-ADHD. Legal problems were more strongly represented in type 1 than in type 2 patients or NDD/A-ADHD ones. Our results suggest that type 1 and type 2 substance use differ in their effects on A-ADHD patients—an outcome that brings with it different likely implications in dealing with the diagnostic and therapeutic processes
Substance use disorder in adult-attention deficit hyperactive disorder patients: Patterns of use and related clinical features
Background: While a large amount of medical literature has explored the association between Attention Deficit/Hyperactivity Disorder (ADHD) and Substance Use Disorders (SUDs), less attention has been dedicated to the typologies of SUD and their relationships with ADHD-specific symptomatology and general psychopathology in dual disorder patients. Methods: We selected 72 patients (aged 18-65) with a concomitantSUDout of 120 adults withADHD(A-ADHD). Assessment instruments included the Diagnostic Interview for ADHD in adults (DIVA 2.0), Conner’s Adult ADHD Rating Scales-Observer (CAARS-O:S): Short Version, the Structured Clinical Interview for Axis I and II Disorders (SCID-I), the Barratt Impulsiveness Scale (BIS-11), the Brief Psychiatric rating scale (BPRS), the Reactivity Intensity Polarity Stability Questionnaire (RIPoSt-40), theWorld Health Organization Disability Assessment Schedule (WHODAS 2.0) and the Morningness-Eveningness Questionnaire (MEQ). A factorial analysis was performed to group our patients by clusters in different typologies of substance use and correlations between SUDs, as made evident by their typological and diagnostic features; in addition, specific ADHD symptoms, severity of general psychopathology and patients’ functionality were assessed. Results: Two patterns of substance use were identified: the first (type 1) characterized by stimulants/alcohol and the second (type 2) by the use of cannabinoids (THC). Type 1 users were significantly younger and had more legal problems. The two patterns were similar in terms of ADHD-specific symptomatology and its severity at treatment entry. No differences were found regarding the other scales assessed, except for lower scores at MEQ in type 1 users. Conclusions: At treatment entry, the presence of different comorbid SUD clusters do not affect ADHD-specific symptomatology or severity
Exploring the role of caffeine use in adult-ADHD symptom severity of US army soldiers
There is a growing trend of using energy drinks and caffeinated beverages to improve cognitive performance that is widespread and well-studied among children and teenagers with Attention Deficit Hyperactive Disorder (ADHD), but little is known about adult ADHD (A-ADHD). As a consequence, the use of highly caffeinated drinks and their impact on ADHD symptoms are poorly understood. This is especially true in populations where A-ADHD and the use of these beverages are largely represented, such as in military samples. From the All Army Study (AAS) of the Army Study to Assess Risk and Resilience in Service members (STARRS) data, 1,239 A-ADHD soldiers and 17,674 peers without any psychiatric comorbidity were selected. The two groups were compared on: (1) the presence of substance use disorder (SUD) diagnosis both over their lifetime and in the previous 30 days; (2) patterns of alcohol and caffeine use using chi-square analyses. Lastly, the relationship between substance use and severity of A-ADHD symptoms was assessed using Pearson’s correlations. Soldiers with a diagnosis of A-ADHD had a higher prevalence of SUD diagnosis compared to their peers without psychiatric comorbidity. They also tended to use more alcohol, caffeine pills, energy drinks, and other caffeinated drinks. Alcohol use was positively correlated with A-ADHD symptoms; on the contrary, energy drinks, caffeine pills and other caffeinated drinks showed negative correlations with some aspects of A-ADHD symptomatology. The use of caffeinated compounds appears to be increased among military soldiers with ADHD, and they may help reducing A-ADHD symptoms and improve cognitive performance. These results suggest a possible role for caffeine as a potential pharmacological tool in the treatment of adult ADHD
Reactivity, Intensity, Polarity and Stability questionnaire (RIPoSt-40) assessing emotional dysregulation: Development, reliability and validity
Background: Emotional dysregulation (ED) is a heterogenous construct with great relevance in psychiatric research and clinical practice. In the present study, we validated a 40-items version of the Reactivity, Intensity, Polarity and Stability questionnaire (RIPoSt-40), a self-report measure of ED. Methods: A non-clinical sample (N = 396) and two clinical samples of patients with cyclothymia (N = 120) and ADHD (N = 54) were recruited. Items were selected and subscales were derived based on inter-item correlations and PCA with promax rotation in the non-clinical sample. Test-retest reliability was assessed in a subsample (N = 60). Internal consistency and concurrent validity with TEMPS-M factors were evaluated in each sample. The three groups results were compared to ascertain discriminant validity. Results: Four subscales were identified as measures of affective instability, emotional impulsivity, negative and positive emotionality. The first three subscales also sum up to a negative ED score comprising thirty items. Measures of reliability (test-retest r = 0.71–0.84) and internal consistency (Cronbach's α = 0.72–0.95) were generally high. Concurrent validity was supported by correlations with TEMPS-M factors. Discriminant validity was significant (p < 0.001) with cyclothymic and ADHD patients showing higher scores for each subscale, except for positive emotionality. Limitations: The non-clinical sample was recruited through a web-survey and mainly included young and highly educated subjects. Mood and anxiety comorbidity of the clinical samples were not taken into consideration. Conclusion: RIPoSt-40 questionnaire has proved to be a valid, reliable and useful tool to assess ED both in clinical and non-clinical contexts
Relationships among Delayed Sleep Phase Disorder, Emotional Dysregulation, and Affective Temperaments in Adults with Attention Deficit Hyperactivity Disorder and Cyclothymia
This study aims to explore the relationships between delayed sleep phase disorder (DSPD) and emotional dysregulation in 240 patients (134 with cyclothymia, 81 with attention deficit hyperactivity disorder [ADHD] and 25 with both conditions). DSPD was assessed using the Morningness-Eveningness Questionnaire, followed by a clinical evaluation. Affective temperaments and emotional dysregulation were also investigated through the brief version of the Temperament Evaluation of Memphis, Pisa, Paris, and San Diego and the Reactivity, Intensity, Polarity, Stability questionnaires, respectively. Clinical variables were compared in patients with and without DSPD, and a logistic regression model was used to identify the predictive value of the clinical characteristics on the presence of DSPD. DSPD patients (19% of the total sample) were significantly younger than patients without DSPD, showed an about 4 times higher lifetime history of comorbid ADHD and cyclothymia, and reported higher scores in the irritable and cyclothymic temperamental subscales and in the affective instability and impulsivity dimensions. In the multiple logistic regression, we found a negative predictive value of increasing age on the presence of DSPD, whereas comorbid cyclothymia and ADHD and cyclothymic temperament seem to represent risk factors for DSPD