Objectives: This study examined the research trends in the field of the five addictions, examining the correlations and co-occurrence among addiction studies. Methods: Bibliographic information from papers was used to examine the correlations and cooccurrence between different fields of addiction. The analysis covered the entire period and specific time frames. Correlation analysis was conducted using cosine similarity, while co-occurrence analysis was performed using text network analysis. Results: An analysis of the correlations and co-occurrence among the five addictions revealed the following. First, since 2000, studies on internet and smartphone addiction have become more active, leading to a significant increase in research connections between the different types of addiction. Second, there is a high correlation between alcohol addiction and internet addiction, with shared research topics being actively explored. Finally, the most commonly addressed topic across studies on the five addictions is adolescent addiction. Conclusion The significance of this study lies in its contribution to understanding the trends in addiction-related research and the insights into the treatment of cross-addiction.

Bipolar disorder is the main approved indication of mood stabilizers. In clinical practice, however, they are commonly used for 1) patients showing aggressive behavior regardless of the diagnosis and 2) schizophrenia patients. A literature review was performed to find evidence supporting this clinical “common sense.” The authors found no sufficient evidence supporting the efficacy of mood stabilizers either for aggressive behavior or for schizophrenia. The authors suggest that off-label use of mood stabilizers should be based on judicious clinical judgment, based on the understanding “what particular treatment for this patient does the behavior warrant at this time?”

Objectives: This study examined the research trends in the field of the five addictions, examining the correlations and co-occurrence among addiction studies. Methods: Bibliographic information from papers was used to examine the correlations and cooccurrence between different fields of addiction. The analysis covered the entire period and specific time frames. Correlation analysis was conducted using cosine similarity, while co-occurrence analysis was performed using text network analysis. Results: An analysis of the correlations and co-occurrence among the five addictions revealed the following. First, since 2000, studies on internet and smartphone addiction have become more active, leading to a significant increase in research connections between the different types of addiction. Second, there is a high correlation between alcohol addiction and internet addiction, with shared research topics being actively explored. Finally, the most commonly addressed topic across studies on the five addictions is adolescent addiction. Conclusion The significance of this study lies in its contribution to understanding the trends in addiction-related research and the insights into the treatment of cross-addiction.

Bipolar disorder is the main approved indication of mood stabilizers. In clinical practice, however, they are commonly used for 1) patients showing aggressive behavior regardless of the diagnosis and 2) schizophrenia patients. A literature review was performed to find evidence supporting this clinical “common sense.” The authors found no sufficient evidence supporting the efficacy of mood stabilizers either for aggressive behavior or for schizophrenia. The authors suggest that off-label use of mood stabilizers should be based on judicious clinical judgment, based on the understanding “what particular treatment for this patient does the behavior warrant at this time?”

Objectives: This study examined the research trends in the field of the five addictions, examining the correlations and co-occurrence among addiction studies. Methods: Bibliographic information from papers was used to examine the correlations and cooccurrence between different fields of addiction. The analysis covered the entire period and specific time frames. Correlation analysis was conducted using cosine similarity, while co-occurrence analysis was performed using text network analysis. Results: An analysis of the correlations and co-occurrence among the five addictions revealed the following. First, since 2000, studies on internet and smartphone addiction have become more active, leading to a significant increase in research connections between the different types of addiction. Second, there is a high correlation between alcohol addiction and internet addiction, with shared research topics being actively explored. Finally, the most commonly addressed topic across studies on the five addictions is adolescent addiction. Conclusion The significance of this study lies in its contribution to understanding the trends in addiction-related research and the insights into the treatment of cross-addiction.

Bipolar disorder is the main approved indication of mood stabilizers. In clinical practice, however, they are commonly used for 1) patients showing aggressive behavior regardless of the diagnosis and 2) schizophrenia patients. A literature review was performed to find evidence supporting this clinical “common sense.” The authors found no sufficient evidence supporting the efficacy of mood stabilizers either for aggressive behavior or for schizophrenia. The authors suggest that off-label use of mood stabilizers should be based on judicious clinical judgment, based on the understanding “what particular treatment for this patient does the behavior warrant at this time?”

Objectives: This study examined the research trends in the field of the five addictions, examining the correlations and co-occurrence among addiction studies. Methods: Bibliographic information from papers was used to examine the correlations and cooccurrence between different fields of addiction. The analysis covered the entire period and specific time frames. Correlation analysis was conducted using cosine similarity, while co-occurrence analysis was performed using text network analysis. Results: An analysis of the correlations and co-occurrence among the five addictions revealed the following. First, since 2000, studies on internet and smartphone addiction have become more active, leading to a significant increase in research connections between the different types of addiction. Second, there is a high correlation between alcohol addiction and internet addiction, with shared research topics being actively explored. Finally, the most commonly addressed topic across studies on the five addictions is adolescent addiction. Conclusion The significance of this study lies in its contribution to understanding the trends in addiction-related research and the insights into the treatment of cross-addiction.

Bipolar disorder is the main approved indication of mood stabilizers. In clinical practice, however, they are commonly used for 1) patients showing aggressive behavior regardless of the diagnosis and 2) schizophrenia patients. A literature review was performed to find evidence supporting this clinical “common sense.” The authors found no sufficient evidence supporting the efficacy of mood stabilizers either for aggressive behavior or for schizophrenia. The authors suggest that off-label use of mood stabilizers should be based on judicious clinical judgment, based on the understanding “what particular treatment for this patient does the behavior warrant at this time?”

Objectives: Recently, the clinical importance of attention deficit hyperactivity disorder (ADHD) and problem/pathological gambling has been increasing. Studies on the relationship between ADHD and problem/pathological gambling are ongoing worldwide but few are conducted. This study examined the relationship between adult ADHD symptoms and problem/pathological gambling. Methods: Data from 500 adults aged 20 to 59 who took part in a community survey were analyzed. All participants completed self-report questionnaires in which demographic variables and ADHD symptoms were assessed using the Adult ADHD Self-Report Scale. Problem/pathological gambling was assessed using a Korean version of the Diagnostic Interview Schedule. Results: The prevalence of adult ADHD symptoms was 15.2%. The association between ADHD symptoms and problem/pathological gambling was significant (p<0.001). Additionally, subjects with ADHD symptoms showed a more positive attitude toward gambling than subjects without symptoms. Multivariate analysis revealed a significant relationship between ADHD symptoms and problem/pathological gambling (odds ratio, 2.394; 95% confidence interval, 1.104–5.191;p=0.027). Conclusion Problem/pathological gambling is associated with ADHD symptoms. Therefore, clinicians should provide education and intervention on gambling behavior to subjects with ADHD symptoms.

Objectives: This study uses the short-form Center for Epidemiological Studies-Depression Scale (CES-D) to screen for depression among Korean career soldiers, aiming to protect mental health and ensure military stability. Methods: The study involves 2922 career soldiers who completed online self-report questionnaires assessing suicidality, depression, anxiety, and social support. Diagnosis of major depressive episodes (MDEs) using the Korean version of the Mini International Neuropsychiatric Interview (K-MINI) was confirmed through Pearson correlation analysis of the 20 CES-D items. The top three correlated items form the Depression Screening Questionnaire for Korean Career soldiers (DSQ-KC). Receiver operating characteristic curves and area under the curve (AUC) values were obtained, with the DSQ-KC total score as the explanatory variable and MDEs as the response variable. Independent t-tests were performed to determine whether suicidality, anxiety, and social support differed based on the cut-off scores of the DSQ-KC. Results: In the analysis of each CES-D item with an MDE diagnosis, items 4, 6, and 3 were obtained. The AUC value was 0.958. At a cut-off score of 2, sensitivity and specificity were 93.9% and 89.9%, respectively, with positive and negative predictive values of 14.7% and 99.6%, respectively. Conversely, at a cut-off score of 3, sensitivity and specificity were 83.7% and 94.4%, respectively, with positive and negative predictive values of 27.7% and 98.9%, respectively. Associations with suicidality, anxiety, and use of social networks from cut-off scores of 2 or 3 were examined. Conclusion The DSQ-KC, developed with three reliable items, is user-friendly and can be utilized in suicide prevention projects for career soldiers.