Treatment of dissociative symptoms with opioid antagonists: a systematic review.

BACKGROUND: The clinical guidelines for the treatment of dissociation focus primarily on psychotherapy. However, different psychoactive drugs are used in clinical practice. The use of opioid antagonists has been proposed as a therapeutic option based on the theory that dissociation might be a phenomenon mediated by dysregulation of the endogenous opioid system. OBJECTIVE: To review and meta-analyse the available evidence on the efficacy of the opioid antagonists naltrexone, naloxone, and nalmefene as treatments for dissociative symptoms and disorders. METHOD: The PRISMA guidelines were followed, and this review was registered in Prospero with reference number CRD42021280976. The search was performed in the PubMed, Scopus, Web of Science, EMBASE, PsycINFO, and PubPsych databases. RESULTS: 1,798 citations were obtained. After removing duplicates and applying inclusion and exclusion criteria, we included 5 comparative studies with 9 dissociation measures that had included a total of 154 participants, of whom 134 had been treated with an opioid antagonist. The results of the meta-analysis showed a treatment effect for dissociation when using opioid antagonists [pooled d = 1.46 (95% CI: 0.62-2.31)]. However, the studies we included were very heterogeneous [Q = 66.89 (p < .001)] and there may have been publication bias. CONCLUSIONS: Although more research is needed and the results must be interpreted with caution because of the limited amount of data and heterogeneity in the studies and their methodological qualities, opioid antagonists (particularly naltrexone) are promising candidates for the treatment of dissociative symptoms and showed a moderate - large effect size in reducing these symptoms.

The results of the meta-analysis showed a treatment effect for dissociation when using opioid antagonists [pooled d = 1.46 (95% CI: 0.62­2.31)].The results must be interpreted with caution because of the limited amount of data and heterogeneity in the studies and their methodological qualities.Opioid antagonists (particularly naltrexone) are promising candidates for the treatment of dissociative symptoms and showed a moderate ­ large effect size in reducing these symptoms.

Relationship of Gaming Disorder with parenting based on low affection-communication and personality trait of neuroticism in adolescents.

Background: Gaming Disorder is increasingly common in adolescents. We aimed to evaluate the relationship between parenting, personality traits, and Gaming Disorder. Methods: An observational and cross-sectional study in six secondary schools of Castelló, obtaining a final sample of 397 students. Results: Adolescents with Gaming Disorder had lower scores in Adolescent Affection-Communication (F = 8.201; p < 0.001), Father's Warmth (F = 3.459; p = 0.028), and Father's Acceptance/Involvement (F = 5.467; p = 0.003), and higher scores in Mother's Revoking Privileges (F = 4.277; p = 0.034) and Father's Indifference (F = 7.868; p = 0.002) than healthy participants. Male sex was a risk factor for Gaming Disorder (OR = 12.221; p = 0.004), while Adolescent Affection-Communication (OR = 0.908; p = 0.001) and Agreeableness (OR = 0.903; p = 0.022) were protective factors. Data modeling described the protective effect that Adolescent Affection-Communication had on Gaming Disorder, which was both directly (B = -0.20; p < 0.001) and indirectly mediated by Neuroticism (B = -0.20; p < 0.001), while Neuroticism itself was a risk factor for Gaming Disorder (B = 0.50; p < 0.001). Conclusion: These results reflect that Parental style with low affection and communication was directly and indirectly related to the Gaming Disorder, as well as male sex and personality trait of Neuroticism.

Personality traits and psychopathology in adolescents with videogame addiction. / Rasgos de personalidad y psicopatología en adolescentes con adicción a videojuegos.

Gaming disorder (GD) was recently included in the 11th edition of the International Classification of Diseases. A cross-sectional study was conducted in five secondary schools, with a final sample of 119 students. A diagnosis of GD was made in 6.4% (n = 23) of this sample. Compared with healthy subjects, adolescents with GD showed low levels of conscientiousness (F = 7.82; p = .001) and agreeableness (F = 3.31; p = .041) and scored higher in school maladjustment (SMC; F = 9.23; p < .001). Two discriminating functions were obtained that allowed us to predict patient group allocation with a success rate of 60.5% (Z1 = 0.406 × Sex + 0.560 × Conscientiousness - 0.677 × SMC; Z2 = 0.915 × Sex + 0.191 × Conscientiousness + 0.326 × SMC). Subjects with addiction differed from healthy subjects in presenting school maladjustment and low consciousness, while both groups of subjects with addiction differed in that video game addiction was proportionally higher in boys. The probability of GD was higher if subjects were male (OR [95% CI]) = 4.82 [1.17-19.81]; p = .029) and had school maladjustment (OR [95% CI] = 1.08 [1-1.17]; p = .047); while that of substance use disorder was higher if the subjects had neuroticism (OR [95% CI] = 1.07 [1-1.14]; p < .040), clinical maladjustment (OR [95% CI] = 1.10 [1.01- 1.20]; p = .020), school maladjustment (OR [95% CI] = 1.06 [1-1.13]; p = .048), low personal adjustment (OR [95% CI] = 0.94 [0.88-0.99]; p = .047) and emotional symptoms (OR [95% CI] = 0.86 [0.78-0.96]; p = .006).

El trastorno por uso de videojuegos se incluyó recientemente en la 11ª edición de la Clasificación Internacional de Enfermedades. Se realizó un estudio transversal en cinco institutos, con una muestra final de 119 alumnos. El 6,4% (n = 23) de los sujetos tenía trastorno por uso de videojuegos. Los adolescentes con trastorno por uso de videojuegos mostraron bajos niveles de consciencia (F = 7,82; p = ,001) y amabilidad (F = 3,31; p = ,041); y puntuaron más alto en inadaptación escolar (SMC; F = 9,230; p < ,001) que los sanos. Obtuvimos dos funciones discriminantes que clasificaban correctamente al 60,5% (Z1 = 0,406 × Sexo + 0,560 × Conciencia - 0,677 × SMC; Z2 = 0,915 × Sexo + 0,191 × Conciencia + 0,326 × SMC). Los sujetos con adicción se diferenciaban de los sanos en presentar inadaptación escolar y baja conciencia, mientras que ambos grupos con adicción se diferenciaban en que los alumnos con adicción a videojuegos eran en mayor proporción varones. La probabilidad de trastorno por uso de videojuegos aumentaba si el sujeto era varón (OR [CI 95%] = 4,82 (1,17-19,81); p = ,029) con inadaptación escolar (OR [IC 95%] = 1,08 (1-1,17); p = ,047); mientras que el trastorno por uso de sustancias aumentaba si el sujeto presentaba neuroticismo (OR [IC 95%] =1,07 [1-1,14]; p < ,040), desajuste clínico (OR [IC 95%] = 1,10 [1,01-1,20]; p = ,020), inadaptación escolar (OR [IC 95%] = 1,06 [1-1,13]; p = ,048), bajo ajuste personal (OR [IC 95%] = 0,94 [0,88-0,99]; p = ,047) y síntomas emocionales (OR [IC 95%] = 0,86 [0,78-0,96]; p = ,006).

Rasgos de personalidad y psicopatología en adolescentes con adicción a videojuegos / Personality traits and psychopathology in adolescents with videogame addiction

El trastorno por uso de videojuegos se incluyó recientemente en la 11ªedición de la Clasificación Internacional de Enfermedades. Se realizó un estudio transversal en cinco institutos, con una muestra final de 119 alumnos. El 6,4% (n = 23) de los sujetos tenía trastorno por uso de videojuegos. Los adolescentes con trastorno por uso de videojuegos mostraron bajos niveles de consciencia (F = 7,82; p = ,001) y amabilidad (F = 3,31; p = ,041); y puntuaron más alto en inadaptación escolar (SMC; F = 9,230; p < ,001)que los sanos. Obtuvimos dos funciones discriminantes que clasificaban correctamente al 60,5% (Z1 = 0,406 × Sexo + 0,560 × Conciencia - 0,677× SMC; Z2 = 0,915 × Sexo + 0,191 × Conciencia + 0,326 × SMC). Los sujetos con adicción se diferenciaban de los sanos en presentar inadaptación escolar y baja conciencia, mientras que ambos grupos con adicción se diferenciaban en que los alumnos con adicción a videojuegos eran en mayor proporción varones. La probabilidad de trastorno por uso de videojuegos aumentaba si el sujeto era varón (OR [CI 95%] = 4,82 (1,17-19,81); p =,029) con inadaptación escolar (OR [IC 95%] = 1,08 (1-1,17); p = ,047);mientras que el trastorno por uso de sustancias aumentaba si el sujeto presentaba neuroticismo (OR [IC 95%] =1,07 [1-1,14]; p < ,040), desajuste clínico (OR [IC 95%] = 1,10 [1,01-1,20]; p = ,020), inadaptación escolar(OR [IC 95%] = 1,06 [1-1,13]; p = ,048), bajo ajuste personal (OR [IC95%] = 0,94 [0,88-0,99]; p = ,047) y síntomas emocionales (OR [IC 95%]= 0,86 [0,78-0,96]; p = ,006). (AU)

Gaming disorder (GD) was recently included in the 11th edition of theInternational Classification of Diseases. A cross-sectional study was conducted in five secondary schools, with a final sample of 119 students. A diagnosis of GD was made in 6.4% (n = 23) of this sample. Compared with healthy subjects, adolescents with GD showed low levels of conscientiousness(F = 7.82; p = .001) and agreeableness (F = 3.31; p = .041) and scored higherin school maladjustment (SMC; F = 9.23; p < .001). Two discriminating functions were obtained that allowed us to predict patient group allocation with a success rate of 60.5% (Z1 = 0.406 × Sex + 0.560 × Conscientiousness− 0.677 × SMC; Z2 = 0.915 × Sex + 0.191 × Conscientiousness + 0.326 ×SMC). Subjects with addiction differed from healthy subjects in presenting school maladjustment and low consciousness, while both groups of subjectswith addiction differed in that video game addiction was proportionally higher in boys. The probability of GD was higher if subjects were male (OR[95% CI]) = 4.82 [1.17-19.81]; p = .029) and had school maladjustment(OR [95% CI] = 1.08 [1-1.17]; p = .047); while that of substance use disorder was higher if the subjects had neuroticism (OR [95% CI] = 1.07[1-1.14]; p < .040), clinical maladjustment (OR [95% CI] = 1.10 [1.01-1.20]; p = .020), school maladjustment (OR [95% CI] = 1.06 [1-1.13]; p =.048), low personal adjustment (OR [95% CI] = 0.94 [0.88-0.99]; p = .047)and emotional symptoms (OR [95% CI] = 0.86 [0.78-0.96]; p = .006). (AU)