Interventions For Addiction Research Articles

Parental neglect and social media addiction of adolescents: The chain mediation effect of basic psychological need and personal growth initiative.

This study aimed to explore the relationship between parental neglect and adolescent social media addiction and its underlying mechanism. A cross-sectional design was used in this study. A total of 792 middle school students participated.Self-report questionnaires were conducted using the Parental Neglect Questionnaire, the Basic Needs Satisfaction Scale, the Personal Growth Initiative Scale and the Social Media Addiction Questionnaire. The data were analyzed using the chain mediation model. The results showed that parental neglect was significantly positively correlated with adolescent social media addiction. Basic psychological need and personal growth initiative played a mediating role between parental neglect and adolescent social media addiction, and basic psychological need and personal growth initiative also played a chain mediating role between the two. The study revealed the potential mechanism of parental neglect affecting adolescent social media addiction, providing a theoretical basis for the prevention and intervention of adolescent social media addiction from the family and individual levels. Nurses and educators should engage with parents to increase awareness about the potential consequences of parental neglect and social media addiction among adolescents. These professionals are well-positioned to implement educational programs that teach parents how to satisfy their children's basic psychological needs and encourage personal growth initiatives. Such programs should include continuous support, guidance, and practical strategies for parents to help manage their children's social media use effectively.

ITRAQ proteomic analysis of the anterior insula in morphine-induced conditioned place preference rats with high-frequency deep brain stimulation intervention.

Morphine dependence or addiction is a serious global public health and social problem, and traditional treatments are very limited. Deep brain stimulation (DBS) has emerged as a new potential treatment for drug addiction. Repeated use of morphine leads to neuroadaptive and molecular changes in the addiction-related brain regions. We have previously performed isobaric tags for relative and absolute quantitation (iTRAQ) labelling coupled with 2D-LC MS/MS in anterior insular samples from rats treated with saline control, morphine or morphine plus DBS, and the identified expression of eight proteins are altered by morphine and reversed by high-frequency DBS (HF-DBS). In this study, we analysed the proteomic data in more details. A total of 5575 proteins were identified. Relative to the saline group, the morphine group showed 14 down-regulated and three up-regulated proteins. There were 118 proteins increased and 87 proteins decreased between DBS implanted animals and morphine group. Several differentially expressed proteins were verified with parallel reaction monitoring (PRM) assay. Based on Gene Ontology enrichment an KEGG pathway analyses, the majority of these differentially expressed proteins (DEPs) were involved in protein metabolic process, G-protein coupled receptor signalling pathway, calcium-mediated signalling, neurotransmitter transport, dopaminergic synapse and mTOR signalling pathway. These data offer a comprehensive understanding of the proteomic changes associated with morphine addiction and DBS therapy in addicted animal models, which is important for the development of DBS interventions for drug addiction.

Anti-Love Biomedical Intervention and the Necessity of Consent

This paper is an investigation into the conditions under which anti-love biomedical intervention is justified. Our central claim is that anti-love biomedical intervention can be justified without the “simultaneous consent” of recipients (where the simultaneous consent of a person S is understood as S’s consent at time t to an intervention at t) when it contributes to increased autonomy. We begin with an overview of earlier discussions of the ethics of anti-love biomedical intervention, focusing on the pioneering work of Earp and colleagues. We then present some cases in which paternalistic intervention may be effective. We will then present an argument for the idea of anti-love biomedical intervention without simultaneous consent, based on an analogy between (biomedical intervention in) addiction and (biomedical intervention in) love. One premise of this argument is that love and addiction are importantly similar in that they can compromise the autonomous capacity for self-governing. The other premise of this argument is that biomedical intervention in addiction without simultaneous consent can be justified if the intervention is expected to restore the compromised capacity for self-governing. We will propose the “Ulysses contract”, a contract to enforce anti-love biomedical intervention when the recipient refuses it, as a possible measure of such paternalistic intervention and discuss its possible risks.

The role of substance assessment tools in treatment planning and monitoring: a narrative review

Psychoactive drugs including alcohol and tobacco products can be considered as substances that lead to various negative physical and psychological consequences. On the other hand, socioeconomic deterioration also comes along with harmful substance usage. Substance addiction is a complex condition characterised by a compulsive and harmful pattern of substance use despite the adverse consequences it may comprise, and the risk of developing substance addiction is influenced by a combination of genetic, environmental, and psychological factors and relapse is the recurrence of substance use after a period of abstinence or successful treatment. Hence, healthcare professionals, educational experts, and legal officers are required to get a broader idea regarding the factors associated with substance use. Assessment tools are the most efficient way of identifying the associated factors of substance use, customising specific treatment plans, and monitoring the progress of addiction intervention. By implementing modifications and enhancements to the pre-existing tools, researchers and clinicians able to improve the accuracy of participant responses and findings, leading to a more precise identification of causal links within the context of substance use disorders. The primary focus of this study lies in the comprehensive review of the Alcohol Use Disorder Identification test, Michigan Alcohol Screening Test, Alcohol Dependency Scale, Self-administered Alcoholism Screening Test, Drug Abuse Screening Test, Tobacco, Alcohol, Prescription Medication, and Other Substance Use Tool, Alcohol, Smoking, and Substance Involvement Screening Test, Substance and Choice Scale, Screening to Brief Intervention, Adolescent Alcohol and Drug Involvement Scale, and Severity of Dependence Scale play crucial roles in identifying substance use disorders, assessing severity, guiding treatment decisions, and facilitating interventions to promote recovery and well-being.

Role of conscious awareness and Big Five in predicting the digital addiction.

Digital addiction is discussed in the literature as a type of addiction that negatively affects the personal, social, and societal lives of individuals. Digital addiction is a behavioral addiction that occurs as a result of the problematic and unconscious use of digital tools with features such as compulsive, excessive, impulsivity, and includes human-machine interaction. What is meant to be expressed with conscious awareness is to accept the facts and experiences as they are without judgment, and to be aware of them. With awareness, it is aimed to contribute to individuals to evaluate their past experiences more objectively, to get rid of automatic behavioral and emotional patterns, and to show more moderate reactions by avoiding aggressive reactions. In this context, this study examines the Big Five and Mindfulness as predictive variables for digital addiction, focusing on them as a cause and a solution variable that can be used in interventions for digital addiction. Given its prevalence and negative effects, it is important to identify and analyze the relationship patterns between digital addiction and related variables in order to define and resolve the problem. In this context, the present study aims to determine the levels of conscious awareness and digital addiction among university students and to examine the predictive effect of conscious awareness levels and Big Five variables on predicting digital addiction behaviors. The present study is designed to employ the survey method. Data were collected from 1,664 university students selected by using the convenience sampling method, and the data obtained were analyzed by using descriptive statistics and structural equation modeling. The SPSS 25 and LISREL 8.8 software packages were used in the analysis process. The results achieved in this study revealed that university students have a moderate level of conscious awareness and that the overall level of digital addiction is generally moderate. The results achieved from the structural equation modeling for the measurement model constructed for the relationships between variables confirmed the validity of the proposed model. It was determined that the model had a good fit with the latent variables, which represent the indicator variables, and also other latent variables. In conclusion, it was found that Big Five and the level of conscious awareness have a reducing effect on digital addiction and serve a protective function against this negativity among university students.

Avatar Intervention in Virtual Reality for Cannabis Use Disorder in Individuals With Severe Mental Disorders: Results From a 1-Year, Single-Arm Clinical Trial.

The dual diagnosis of cannabis use disorder (CUD) and severe mental disorder (SMD) results in clinically complex individuals. Cannabis use is known to have negative consequences on psychiatric symptoms, medication compliance, and disease prognosis. Moreover, the effectiveness of currently available psychotherapeutic treatments is limited in this population. In this context, our research team developed avatar intervention, an approach using virtual reality as a therapeutic tool to treat CUD in individuals with SMD. This pilot clinical trial aimed to evaluate, until the 1-year follow-up, the efficacy of avatar intervention for CUD among 32 participants with a dual diagnosis of SMD and CUD. Over the course of the 8 intervention sessions, participants were given the opportunity to enter a dialogue in virtual reality with an avatar representing a person with a significant role in their consumption, who was animated in real time by a therapist. The primary outcomes were the quantity of cannabis consumed and the frequency of use. Secondary outcomes included severity of problematic cannabis use, motivation for change, protective strategies for cannabis use, consequences of cannabis use, psychiatric symptoms, and quality of life. Changes in reported outcomes during the assessment periods before the intervention; postintervention; and 3, 6, and 12 months after the end of the intervention were assessed using a linear mixed-effects model. Significant reductions were observed in the quantity of cannabis consumed, and these were maintained until the 12-month follow-up visit (d=0.804; P<.001; confirmed by urine quantification). Frequency of cannabis use showed a small significant reduction at the 3-month follow-up (d=0.384; P=.03). Moreover, improvements were observed in the severity of CUD, cannabis-related negative consequences, the motivation to change cannabis use, and the strategies used to mitigate harms related to cannabis use. Finally, moderate benefits were observed for quality of life and psychiatric symptoms. Overall, this unique intervention shows promising results that seem to be maintained up to 12 months after the end of the intervention. With the aim of overcoming the methodological limitations of a pilot study, a single-blind randomized controlled trial is currently underway to compare the avatar intervention for CUD with a conventional addiction intervention.

Creating a predictive model for early detection, intervention, and prevention of opioid addiction in the United States

Creating a predictive model for early detection, intervention, and prevention of opioid addiction in the United States

Cognitive Dysfunction in the Addictions (CDiA): A Neuron to Neighbourhood Collaborative Research Program on Executive Dysfunction and Functional Outcomes in Outpatients Seeking Treatment for Addiction.

Substance use disorders (SUDs) are pressing global public health problems. Executive functions (EFs) are prominently featured in mechanistic models of addiction. However, there remain significant gaps in our understanding of EFs in SUDs, including the dimensional relationships of EFs to underlying neural circuits, molecular biomarkers, disorder heterogeneity, and functional ability. To improve health outcomes for people with SUDs, interdisciplinary clinical, preclinical and health services research is needed to inform policies and interventions aligned with biopsychosocial models of addiction. Here, we introduce Cognitive Dysfunction in the Addictions (CDiA), an integrative team-science and translational research program, which aims to fill these knowledge gaps and facilitate research discoveries to enhance treatments for people living with SUDs. The CDiA Program comprises seven complementary interdisciplinary projects that aim to progress understanding of EF in SUDs and investigate new biological treatment approaches. The projects draw on a diverse sample of adults aged 18-60 (target N=400) seeking treatment for addiction, who are followed prospectively over one year to identify EF domains crucial to recovery. Projects 1-3 investigate SUD symptoms, brain circuits, and blood biomarkers and their associations with both EF domains (inhibition, working memory, and set-shifting) and functional outcomes (disability, quality of life). Projects 4 and 5 evaluate interventions for addiction and their impacts on EF: a clinical trial of repetitive transcranial magnetic stimulation and a preclinical study of potential new pharmacological treatments in rodents. Project 6 links EF to healthcare utilization and is supplemented with a qualitative investigation of EF-related barriers to treatment engagement for those with substance use concerns. Project 7 uses innovative whole-person modeling to integrate the multi-modal data generated across projects, applying clustering and deep learning methods to identify patient subtypes and drive future cross-disciplinary initiatives. The CDiA program has promise to bring scientific domains together to uncover the diverse ways in which EFs are linked to SUD severity and functional recovery. These findings, supported by emerging clinical, preclinical, health service, and whole-person modeling investigations, will facilitate future discoveries about cognitive dysfunction in addiction and could enhance the future clinical care of individuals seeking treatment for SUDs.

The impact of depression and anxiety on mobile phone addiction and the mediating effect of self-esteem

Mobile phone addiction has become a widespread phenomenon in Chinese society, attracting significant social attention. However, there is still limited understanding of complexities and relationships concerning anxiety, depression, self-esteem, and mobile phone addiction (MPA) among college students. To better understand the relationships among depression, anxiety, self-esteem, and mobile phone addiction, the aim of this study was to explore these relationships, analyze the factors influencing mobile phone addiction, and examine the mediating effects of anxiety and self-esteem on the relationship between depression and mobile phone addiction. Data from 2023 were collected, and the SDS depression scale, SAS anxiety scale, mobile phone addiction scale, and Robert self-esteem scale were employed. Pearson correlation analysis and structural equation modeling revealed significant associations between depression, anxiety, self-esteem, and mobile phone addiction. Further analysis indicated that anxiety mediated the relationship between depression and mobile phone addiction, meanwhile, self-esteem mediated the relationship between depression and mobile phone addiction. Self-esteem also mediated the relationship between anxiety and mobile phone addiction. Additionally, anxiety and self-esteem played sequential mediating roles in mobile phone addiction. These findings contribute to a better understanding of the mechanisms underlying the relationship between depression and mobile phone addiction. The discussion provides practical and effective recommendations for the prevention and intervention of mobile phone addiction among college students.

Three days together around the table: using the group analysis method to value the expertise and lived experiences of key voices to innovate solutions

PurposeThis paper presents the use of the Group Analysis Method (GAM), an innovative method developed in a francophone context, to discuss issues related to the services offered in the field of addiction in Quebec’s Indigenous communities and to identify perspectives for innovative solutions.Design/methodology/approachThis article begins with a detailed description of the method’s phases and steps based on the French-language writings of the developers of the GAM. The authors then illustrate a concrete example of how this method has been applied to addiction intervention stakeholders in Indigenous communities in Quebec (Canada), highlighting the type of results possible.FindingsThe strengths and weaknesses of the GAM for addressing sensitive issues in an Indigenous context are discussed. Recommendations for further integration of the Indigenous perspective into the approach are proposed.Originality/valueThis article presents a relevant qualitative method for co-constructing solutions with groups which, to our knowledge, has not been described in the English-language literature. In the light of their experience in an Indigenous context, the authors adopt a critical perspective, demonstrating the relevance of the method and suggesting adaptations to ensure an equitable distribution of power through the process.

An Integrative Review of Interventions for Preventing Internet and Smartphone Addiction in Elementary School Students: Based on the IMB Model

Background: This study analyzes and evaluates the effectiveness of various interventions designed to prevent internet and smartphone addiction among elementary school students based on the Information-Motivation-Behavioral Skills (IMB) model.Methods: An integrative literature review examined studies published in the last ten years that focus on preventive interventions for internet and smartphone addiction among elementary school students. The selected studies were analyzed using the IMB model, which includes information, motivation, and behavioral skills as key components.Results: The analysis identified several critical components of effective prevention programs: providing relevant information, enhancing interpersonal relationships, emotional management, self-control, and impulse control skills. Effective programs often included group interventions, visual aids, play activities, and parental involvement.Conclusions: The findings suggest that balanced integration of information, motivation, and behavioral skills is essential for developing effective prevention programs for internet and smartphone addiction among elementary school students. The study provides a foundation for future research and the development of comprehensive prevention programs tailored to the unique characteristics of this age group.

Social media addiction and personality dimensions among Tunisian medical students.

Social media (SM) has become a common activity for today's young people. It is sometimes overused and potentially results in SM addiction. This study aims to assess SM addiction and its associated factors in medical students and to examine its relationship with dimensions of personality global self-esteem, and social self-esteem. We carried out a cross-sectional study among a sample of medical students in the region of Sfax in Tunisia. Social Media Addiction Scale-Student Form (SMAS-SF), Big Five Inventory, Rosenberg Self-Esteem Scale, and Social Self-Esteem Inventory were used to collect data. Overall, 116 medical students were included in the survey. The median age of the participants was 26 years, and 91 students (78.4%) were female. Almost half of them (55.20%) were enrolled in the third cycle. The most widely used SM was Facebook (98.3%). Students with the highest SMAS-SF scores had a significantly younger age of first use (p=0.011, r=-0.235), spent more time on their favorite SM (p=0.005, r=0.260), and performed more activities on SM, namely: making comments (p=0.005), browsing SM profiles (p=0.018), and posting videos (p=0.007) or pictures (p=0.002). The need to establish an identity was significantly associated with higher SMAS-SF scores (p=0.011). We also found that neuroticism and a low level of conscientiousness were linked to high SMAS-SF scores (p=0.006, r=0.252 and p=0.050, r=-0.183, respectively). Moreover, high SMAS-SF scores were significantly related to lower global and social self-esteem scores (p=0.015, r=-0.226 and p=0.032, r=-0.199, respectively). Our results highlight the critical need to take into consideration the evaluation and intervention of self-esteem and personality dimensional issues to target interventions for SM addiction among medical students.

Dopamine reuptake and inhibitory mechanisms in human dopamine transporter.

The dopamine transporter has a crucial role in regulation of dopaminergic neurotransmission by uptake of dopamine into neurons and contributes to the abuse potential of psychomotor stimulants1-3. Despite decades of study, the structure, substrate binding, conformational transitions and drug-binding poses of human dopamine transporter remain unknown. Here we report structures of the human dopamine transporter in its apo state, and in complex with the substrate dopamine, the attention deficit hyperactivity disorder drug methylphenidate, and the dopamine-uptake inhibitors GBR12909 and benztropine. The dopamine-bound structure in the occluded state precisely illustrates the binding position of dopamine and associated ions. The structures bound to drugs are captured in outward-facing or inward-facing states, illuminating distinct binding modes and conformational transitions during substrate transport. Unlike the outward-facing state, which is stabilized by cocaine, GBR12909 and benztropine stabilize the dopamine transporter in the inward-facing state, revealing previously unseen drug-binding poses and providing insights into how they counteract the effects of cocaine. This study establishes a framework for understanding the functioning of the human dopamine transporter and developing therapeutic interventions for dopamine transporter-related disorders and cocaine addiction.

Harnessing the power of nature exposure to mitigate adolescents' Internet addiction: A chain mediation model.

Previous studies have focused more on the facilitating effect of nature exposure on positive behavioural consequences. However, less attention has been paid to whether nature exposure can inhibit internalized problem behaviours, such as Internet addiction. Within the framework of the stimuli-organism-response theory, the present study examined the relationship between nature exposure and Internet addiction and investigated the mediating roles of anthropomorphism of nature and awe. In China, we recruited 1469 adolescents (mean age = 13.90 years old, SD = 0.59, 53.2% girls). Mediation analyses indicated that awe partially mediated the relationship between nature exposure and adolescents' Internet addiction. The anthropomorphism of nature and awe served as sequential mediating roles in the relationship between nature exposure and adolescents' Internet addiction. This study provides a nature-based perspective on the prevention and intervention of adolescents' Internet addiction.

Biased choice and incentive salience: Implications for addiction.

Before we can make any choice, we must gather information from the environment about what our options are. This information-gathering process is critically mediated by attention, and our attention is, in turn, shaped by our previous experiences with-and learning about-stimuli and their consequences. In this review, we highlight studies demonstrating a rapid and automatic influence of reward learning on attentional capture and argue that these findings provide a human analog of sign-tracking behavior observed in nonhuman animals-wherein signals of reward gain incentive salience and become attractive targets for attention (and overt behavior) in their own right. We then consider the implications of this idea for understanding the drivers of cue-controlled behavior, with focus on addiction as a case in which choices with regard to reward-related stimuli can become injurious to health. We argue that motivated behavior in general-and addiction in particular-can be understood within a "biased competition" framework: Different options and outcomes compete for attentional priority as a function of top-down goals, bottom-up salience, and prior experience, and the winner of this competition becomes the target for subsequent outcome-directed and flexible behavior. Finally, we outline the implications of the biased-competition framework for cognitive, behavioral, and socioeconomic interventions for addiction. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Mindfulness-Oriented Recovery Enhancement: Implementing an evidence-based intervention for chronic pain, opioid use, and opioid addiction in clinical settings.

The opioid crisis emerged in part due to the overprescribing of opioid analgesics for chronic pain. Although not the only source of the current epidemic of opioid use disorder (OUD), the prescription of opioids for chronic pain remains one vector for the development of opioid misuse and OUD. However, opioid tapering is not appropriate for all patients, and some patients may need to remain on opioid therapy for the long term. To reduce the risk of opioid-related harm among people with chronic pain and to treat incipient or entrenched addictive behaviours, new interventions are needed. This review discusses the clinical outcomes, biobehavioural mechanisms and implementation considerations for a novel, evidence-based intervention for chronic pain, opioid use and OUD called Mindfulness-Oriented Recovery Enhancement (MORE). MORE unites complementary aspects of mindfulness training, cognitive behavioural therapy and principles from positive psychology to simultaneously address addictive behaviour, emotion dysregulation and chronic pain by targeting brain reward and stress systems. MORE has been tested in 13 completed randomized clinical trials, including over 1300 patients, and has demonstrated efficacy against a range of active control conditions for reducing opioid dosing, opioid misuse, illicit drug use, depression, post-traumatic stress symptoms and chronic pain. Opportunities for implementing MORE include facilitating opioid tapering and promoting safe opioid use in primary care and specialty pain clinics, decreasing opioid misuse and enhancing medication-assisted treatment for OUD. Given evidence of MORE's efficacy, it is now time to consider disseminating this evidence-based treatment in the United States, the United Kingdom and worldwide.

AN ENHANCED META-CLASSIFIER APPROACH FOR ALCOHOL ADDICTION PREDICTION

Chronic alcohol consumption poses significant public health challenges globally. In underserved regions, the lack of AI-based interventions for alcohol addiction highlights a critical gap in the healthcare system, particularly regarding the early detection of alcohol abuse. Henceforth, this research aims to raise awareness of alcohol use disorder and proposes a novel AI-powered solution designed with an improved classification algorithm to address this deficiency, with a primary focus on a cutting-edge prediction model. This research shifts the current reactive approach in alcohol addiction intervention to proactive approach by employing an enhanced meta-classification algorithm (EMC) that focuses on improving the interpretability, efficiency, and accuracy of predictions. The proposed EMC ultimately provides a robust tool for healthcare professionals and patients which fosters more effective and personalized intervention strategies for alcohol addiction recovery. The results demonstrate a remarkable 10.13% improvement in balanced accuracy and a 9.72% enhancement in the area under the curve compared to traditional ensemble and state-of-the-art methods. Thus, findings from this study will assist medical practitioners and policymakers in developing evidence-based strategies to combat alcoholism and enhance public health outcomes. By deriving insights from real-world case study, the outcome of this research represents a pioneering effort to betterment of healthcare in underserved regions, offering a low-cost, scalable solution for early detection, and has the potential to significantly improve outcomes in marginalized communities.

Adolescents' Participation in Drug Addiction Interventions, Individual Perceptions, and Attitudes towards Recovery: A Scoping Review

Introduction: Adolescents recovering from substance use problems face significant psycho-social challenges. These challenges can affect their recovery progress, overall well-being, and integration into the society. Due to paucity studies, this study aimed to identify the perceptions and attitude towards recovery among adolescents participating in drug addiction interventions. Methods: This systematic review study applied a complete search of relevant databases, including Scopus, Embase, Cinahl, and PubMed/Medline using Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. The search was limited to articles published in English language, between 2013 and 2023, and focused on adolescents drug addiction. Twelve articles were critically appraised using Critical Appraisal Skills Programme (CASP) for qualitative studies and Joanna Briggs Institute (JBI) tools. The results were synthesised using a thematic analysis. Results: The findings identify that adolescents in addiction recovery face several challenges, including stigmatisation, social isolation, self-doubt, and difficulties accessing and maintaining treatment. The findings also point out that supportive relationships, culturally sensitive treatment approaches and interventions to combat self-stigma can play a critical role in promoting resilience and recovery for adolescents in recovery. Conclusion: The comprehensive review brings us up to speed on the challenging experiences young people recovering from addiction in different addiction intervention go through, it underscores the importance of supportive relationships and encourages strengthening of interventions that mitigate against stigmatization.

Применение кибергигиены в качестве эффективной психологической меры профилактики киберзависимостей

&lt;p style="text-align: justify;"&gt;Problematic internet use and addiction have grown globally with increased digital access and device usage. Individuals are spending more time online, frequently developing non-adaptive habits and addiction symptoms. This article investigates cyber hygiene&amp;rsquo;s potential as an effective preventive approach against internet addiction through a cyberpsychology perspective. Cyber hygiene encompasses practices fostering responsible technology use to mitigate risks including internet addiction. A literature review reveals key internet addiction impacts, like mental health issues, social problems, and risky cyberbehaviors. Theoretical analysis evaluates interventions for internet addiction, determining cyber hygiene education has strong potential based on technology addiction models. Results suggest cyber hygiene reduces addiction symptoms by moderating online time, promoting healthy digital habits, and improving self-awareness of technology use. Examined hygiene strategies include monitoring usage, parental controls, and principles like avoiding digital distraction and setting screen time limits. While challenges remain, comprehensive cyber hygiene education combined with multilevel interventions can aid internet addiction prevention and mitigate consequences. The article concludes wide implementation of cyber hygiene education is needed, although additional research on long-term effectiveness is necessary.&lt;/p&gt;

중독개입에서 마음챙김 명상 효과에 대한 체계적 문헌고찰

This study applied a systematic literature review method to examine studies of mindfulness meditative approaches or interventions for addiction, and to derive implications for the use of meditation for addiction intervention. To this end, until April 2024, a total of six papers were selected and analyzed, including the research foundation registration(candidate) paper among domestic studies, two thesis among the materials published through domestic thesis. The analysis framework was divided into the general characteristics of the study, the structure of the intervention method, and the effect of intervention by type of addiction, and the contents of the selected data were searched by a systematic literature review method. Through this, it was intended to provide data on evidence-based intervention for the development and implementation of addiction intervention programs through mindfulness meditation.