A methadone withdrawal programme (MWP) and a behaviour therapy programme (BTP) were compared in terms of their effectiveness to prevent relapse of heroin addicts after methadone treatment. The BTP incorporated systematic desensitization to effect a decrease in levels of fear of both physical and environmental withdrawal, in addition to assertive training to effect an increase in coping and social skills.Twenty-three voluntary ambulatory patients were allocated in four groups, one group receiving only the MWP (M), one only the BTP (BT), a third, a combination of the two treatments (MBT), and the fourth, a control group of no treatment (C). Analysis of data revealed a significant difference between the four groups over the duration of the eight-week programmes, both in improvement of social skills and in the decrement of fear levels. On each of the dependent measures clients undergoing the BTP performed significantly better than those receiving the MWP. Relapse was prevented in BT, decreased in MBT, but was not prevented in M. No significant difference occurred between M and C. Associations were revealed between fear of withdrawal, fear of negative evaluation, social avoidance and distress, lack of interpersonal assertiveness and the rate of relapse, giving some indication of the possible factors underlying recidivism.
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http://dx.doi.org/10.1016/0376-8716(80)90193-3 | DOI Listing |
J Med Internet Res
January 2025
Department of Internal Medicine, Hospital Clinic, Institut d'Investigacio Biomèdica August Pi i Sunyer, Barcelona, Spain.
Background: Enhancing self-management in health care through digital tools is a promising strategy to empower patients with type 2 diabetes (T2D) to improve self-care.
Objective: This study evaluates whether the Greenhabit (mobile health [mHealth]) behavioral treatment enhances T2D outcomes compared with standard care.
Methods: A 12-week, parallel, single-blind randomized controlled trial was conducted with 123 participants (62/123, 50%, female; mean age 58.
JMIR Ment Health
January 2025
School of Applied Psychology & Centre for Mental Health, Griffith University, Mt Gravatt, Australia.
Background: Self-guided internet-delivered cognitive behavioral therapy (ICBT) achieves greater reach than ICBT delivered with therapist guidance, but demonstrates poorer engagement and fewer clinical benefits. Alternative models of care are required that promote engagement and are effective, accessible, and scalable.
Objective: This randomized trial evaluated whether a stepped care approach to ICBT using therapist guidance via videoconferencing for the step-up component (ICBT-SC[VC]) is noninferior to ICBT with full therapist delivery by videoconferencing (ICBT-TG[VC]) for child and adolescent anxiety.
JMIR Form Res
January 2025
Institute of Social Medicine, Occupational Health and Public Health, Leipzig University, Leipzig, Germany.
Background: eHealth interventions constitute a promising approach to disease prevention, particularly because of their ability to facilitate lifestyle changes. Although a rather recent development, eHealth interventions might be able to promote brain health and reduce dementia risk in older adults.
Objective: This study aimed to explore the perspective of general practitioners (GPs) on the potentials and barriers of eHealth interventions for brain health.
PLoS One
January 2025
Department of Public Health Nursing, School of Nursing and Midwifery, University of Cape Coast, Cape Coast, Ghana.
Background: It is estimated that 61% of deaths caused by Cardiovascular Diseases (CVDs) globally are attributed to lifestyle-related risk factors including tobacco use, alcohol abuse, poor diet, and inadequate physical activity. Meanwhile, inadequate knowledge and misperceptions about CVDs are disproportionately increasing the prevalence of CVDs in Africa. Moreover, pre-diagnosis awareness/knowledge about CVDs among patients is essential in shaping the extent and scope of education to be provided by healthcare workers.
View Article and Find Full Text PDFPLoS One
January 2025
Klab4Recovery Research Program, The City University of New York, Staten Island, New York, United States of America.
Recruitment input-output curves of transspinal evoked potentials that represent the net output of spinal neuronal networks during which cortical, spinal and peripheral inputs are integrated as well as motor evoked potentials and H-reflexes are used extensively in research as neurophysiological biomarkers to establish physiological or pathological motor behavior and post-treatment recovery. A comparison between different sigmoidal models to fit the transspinal evoked potentials recruitment curve and estimate the parameters of physiological importance has not been performed. This study sought to address this gap by fitting eight sigmoidal models (Boltzmann, Hill, Log-Logistic, Log-Normal, Weibull-1, Weibull-2, Gompertz, Extreme Value Function) to the transspinal evoked potentials recruitment curves of soleus and tibialis anterior recorded under four different cathodal stimulation settings.
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