Age at Onset Typology in Opioid‐dependent Men: An Exploratory Study from India

Abstract

This study attempted to apply age at onset typology in ICD-10-diagnosed opioid dependence. The sample is comprised of eighty men seeking treatment at an addiction clinic in India. The measures included a sociodemographic and clinical profile, Severity of Opioid Dependence Questionnaire, Sensation Seeking Scale, Multiphasic Personality Questionnaire (MPQ), and Family History Assessment Module. Application of k-means cluster analysis led to the emergence of two cluster types: early onset (mean age at onset 21 years) and late onset (mean age at onset 27 years). The early onset group was characterized by a significantly younger current age, more urban and unemployed subjects, younger ages at the onset of opioid use and dependence, a higher severity of opioid use, a higher lifetime use of sedatives and tobacco, younger ages at the onset of dependence on alcohol and cannabis, higher sensation seeking, and higher global psychopathology in terms of MPQ. Other less differentiating features were higher family history of psychiatric illness (including substance abuse), longer duration of opioid use and dependence, and higher lifetime use of cannabis. These results show the age at onset typology in opioid dependence to be feasible and to have some similarities to age at onset typology in alcoholism.

Sexual Dysfunction in Men Seeking Treatment for Opioid Dependence: A Study from India

“…This suggests that the study sample was representative of de‐addiction clinic populations in India. The age of our patients is also similar to that reported by previous studies on sexual dysfunction in opioid‐dependent patients [38–42].There was no significant difference between the OD patients and the HCs for sociodemographic variables except that the control group had more subjects who were employed and with higher family income. Thus, difference in the prevalence of sexual dysfunction cannot be attributed to the sociodemographic variables.…”

Decreased Level of Blood MicroRNA-133b in Men with Opioid Use Disorder on Methadone Maintenance Therapy

“…Various evidence indicated that those profiles may be features of OUD severity. For example, opioid-dependent men with an early onset age had a greater severity of opioid dependence [35]; meanwhile, significantly reduced brain activity to heroin-related minus neural cues in the bilateral cortical caudate with long-term MMT and higher total methadone consumption improved heroin-craving response [36]. In this study, we hypothesized that those opioid profiles could affect addiction, and microRNAs may play a role in the phenomenon.…”

Comparative study on depression & anxiety status of addict & Non addict in apex de-addiction & rehabilitation centre, Uttarakhand

“…Multidimensional family therapy which addresses a range of influences an the drugs abuse patterns of adolescents and is designed for them and their families. [18] Depression: Depression is a common mental illness. It can strike at any age & the feeling of hopelessness & helplessness attached to it can make difficult for people to carry out their normal activities.…”