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E-health, and in particular smartphone-based technology, is increasingly becoming commonplace in healthcare. While psychiatry has tapped onto these innovations for conditions, such as affective disorders, and schizophrenia and psychosis, the usage of these technologies in addiction is limited. Addiction psychiatry could harness the potential of smartphone technologies. Given the increasing incidences of substance-related problems globally, and along with the normalization of the general public's perspectives toward substances, and also in consideration of unwillingness for at-risk individuals in seeking help, the authors hope to illustrate how these issues could potentially be solved using E-health and technological innovations. The objectives of the current perspective article are to illustrate how recent advances in smartphone-based technologies could help in terms of psycho-education, as well as in helping individuals who are at-risk users in seeking help earlier. The authors aim to illustrate how the above are possible, building on existing theory-driven framework that has been extensively reviewed in the previous literature. Limitations with regard to the implementation of such technologies will also be discussed.
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http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4794482 | PMC |
http://dx.doi.org/10.3389/fpsyt.2016.00040 | DOI Listing |
Anal Bioanal Chem
September 2025
GuangDong Engineering Technology Research Center of Antibody Drug and Immunoassay, Department of Biological Sciences and Biotechnology, College of Life Science and Technology, Jinan University, Guangzhou, 510632, China.
Illicit drug abuse poses a significant global threat to public health and social security, highlighting the urgent need for rapid, sensitive, and versatile detection technologies. To address the limitations of traditional chromatographic techniques-such as high costs and slow response times-and the drawbacks of conventional immunochromatographic sensors (ICS), including low sensitivity and non-intuitive signal outputs, a fluorescence-quenching ICS (FQICS) was developed. This sensor leverages fluorescence resonance energy transfer (FRET) between aggregation-induced emission fluorescent microspheres (AIEFMs) and gold nanoparticles (AuNPs).
View Article and Find Full Text PDFLuminescence
September 2025
Department of Chemistry, Institute of Science, Banaras Hindu University, Varanasi, Uttar Pradesh, India.
A triphenyl-imidazole end-capped donor-acceptor type potential molecular probe 3 has been designed and synthesized. Probe 3 upon interaction with different classes of metal ions/anions and NPPs displayed high selectivity with CN anion (LOD = 20.42 nM) through fluorescence "turn-Off" response and a naked-eye sensitive visible color change.
View Article and Find Full Text PDFAddict Behav
September 2025
Department of Psychology, Faculty of Social Sciences, University of Macau, Macao, China; Center for Cognitive and Brain Sciences, Institute of Collaborative Innovation, University of Macau, Macao, China. Electronic address:
Emerging adulthood, a transition period in life, is highly intertwined with uncertainty and is thus potentially associated with increased vulnerability to maladaptive coping and problematic behaviors, including problematic smartphone use (PSU). The current study was designed to test not only the associations of intolerance of uncertainty (IU) with PSU tendencies but also the underlying (meta)cognitive and affective mechanisms. A sample of 566 participants who were 18-25 years old (M = 20.
View Article and Find Full Text PDFACS Sens
September 2025
METU MEMS Center, Ankara 06530, Türkiye.
Cardiovascular diseases (CVDs) remain a leading cause of death, particularly in developing countries, where their incidence continues to rise. Traditional CVD diagnostic methods are often time-consuming and inconvenient, necessitating more efficient alternatives. Rapid and accurate measurement of cardiac biomarkers released into body fluids is critical for early detection, timely intervention, and improved patient outcomes.
View Article and Find Full Text PDFNEJM AI
September 2025
Department of Bioengineering, Stanford University, Stanford, CA.
Background: Assessing human movement is essential for diagnosing and monitoring movement-related conditions like neuromuscular disorders. Timed function tests (TFTs) are among the most widespread types of assessments due to their speed and simplicity, but they cannot capture disease-specific movement patterns. Conversely, biomechanical analysis can produce sensitive disease-specific biomarkers, but it is traditionally confined to laboratory settings.
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