The ChatGPT therapist will see you now: Navigating generative artificial intelligence's potential in addiction medicine research and patient care

Tate, Steven; Fouladvand, Sajjad; Chen, Jonathan H.; Chen, Chwen‐Yuen Angie

doi:10.1111/add.16341

Cited by 5 publications

(2 citation statements)

References 11 publications

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“…However, studies are limited and primarily focus on some neurotransmitters. In order to advance our understanding further, it is imperative to integrate various technologies, such as EEG, neurotransmitters level assessments (e.g., 5-hydroxytryptamine and dopamine), neuroimaging (e.g., functional near-infrared spectroscopy, fMRI, positron emission tomography, and single photon emission computed tomography), and artificial intelligence [ 72 , 73 ].…”

Section: Mechanisms Underlying the Effects Of Tms On Brain Functionmentioning

confidence: 99%

Applications of TMS in individuals with methamphetamine use disorder: A review

Zhang,

Chen,

Ren

et al. 2024

Heliyon

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Section: Mechanisms Underlying the Effects Of Tms On Brain Functionmentioning

confidence: 99%

Applications of TMS in individuals with methamphetamine use disorder: A review

Zhang,

Chen,

Ren

et al. 2024

Heliyon

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“…In advancing psychedelic epidemiological research, a promising opportunity lies in integrating robust causality assessment methods [ 45 ] and implementing artificial intelligence (AI) techniques to facilitate comprehensive analysis of large datasets [ 46 , 47 ]. Additionally, substantial methodological refinement can be achieved by incorporating rigorous systematic reviews and meta-analyses, enhancing the quality and depth of the evidence regarding the awareness and utilization patterns for psychedelic substances within specific target populations.…”

Section: Discussionmentioning

confidence: 99%

Cultural Divergence in Psychedelic Use among Medical Students: An ESPAD-Adapted Survey among Poles and Iraqis

Al-Imam,

Motyka,

Michalak

2024

EJIHPE

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Psychedelics can profoundly alter cognition and consciousness. Their use in Middle Eastern countries, including Iraq, is ambiguous. We aim to investigate psychedelic awareness and use among Iraqi and Polish medical students. We surveyed 739 university students from Poland (315) and Iraq (424) using 31 adapted questions from the European School Survey Project on Alcohol and Other Drugs (ESPAD). We conducted multivariable analyses based on binary logistic regression to identify the factors associated with psychedelic awareness and use. Most of the respondents were females (65.6%) and senior medical students (69.6%). Notably, the Polish students displayed a higher prevalence of psychedelic use (21.6% compared to 1.2%, p < 0.001), while the Iraqi participants exhibited a lower familiarity with psychedelics (p < 0.001). The multivariable model demonstrated a commendable level of statistical accuracy and satisfactorily conformed to the Hosmer–Lemeshow goodness-of-fit test (statistical accuracy = 91.61%, Nagelkerke R2 = 0.488, p-value = 0.848). Several factors emerged as correlates of increased psychedelic use, including lacking an intact religious belief system or commitment to its practice (OR = 7.26, 95% CI [2.33, 22.60]). Additionally, those who perceived a low risk associated with sporadic psychedelic use (3.03, [1.44, 6.36]) were likelier to engage in such behavior. Other factors included residing in Poland (2.82, [0.83, 9.55]), maintaining positive attitudes toward psychedelics (2.49, [1.20, 5.14]), frequent social nightlife activities (2.41, [1.26, 4.61]), male gender (2.05, [1.10, 3.85]), and cigarette or tobacco smoking (2.03, [1.06, 3.86]). Significant disparities exist between Poles and Iraqis, influenced by religiosity, perceptions of the usage risks, geographical location, gender, attitudes toward psychedelics, parental leniency, and social freedom, especially concerning nightlife activities. Addressing the factors influencing psychedelic usage is paramount to responsible psychedelic engagement and culturally sensitive interventions to prevent misuse.

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Facilitating Self-Guided Mental Health Interventions Through Human-Language Model Interaction: A Case Study of Cognitive Restructuring

Sharma,

Rushton,

Lin

et al. 2024

Proceedings of the CHI Conference on Human Factors in Computing Systems

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The ChatGPT therapist will see you now: Navigating generative artificial intelligence's potential in addiction medicine research and patient care

Abstract: Addressing challenges such as confabulation, biases, and patient acceptance and adoption is crucial for responsible integration and to improve care in substance use disorders.

Cited by 5 publications

References 11 publications

Applications of TMS in individuals with methamphetamine use disorder: A review

Applications of TMS in individuals with methamphetamine use disorder: A review

Cultural Divergence in Psychedelic Use among Medical Students: An ESPAD-Adapted Survey among Poles and Iraqis

Facilitating Self-Guided Mental Health Interventions Through Human-Language Model Interaction: A Case Study of Cognitive Restructuring

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