[Neuroimaging correlates of classical psychedelics effects: A systematic review]. / Corolaires en neuro-imagerie des effets des psychédéliques classiques : une revue systématique de la littérature.

BACKGROUND: Current scientific literature supports classical psychedelic efficacy in many psychiatric disorders. However, less attention has been given to the neurological effects of these substances. The aim of this medical thesis was to conduct a systematic review examining the neuroimaging correlates of the effects of psychedelics. METHOD: We performed an electronic research through Medline and Science Direct databases. A comprehensive search yielded 460 articles published up to May 2022. After a cautious screening process, we selected 49 scientific papers for further analysis. RESULTS: Major findings included reduced functional network integration, increased between-network functional connectivity, and expansion of functional connectivity patterns repertoire under psychedelics. Thalamic gating and emotional processing were also impaired. These results positively correlated with symptom improvement in pathological populations. CONCLUSION: To this day, our knowledge concerning psychedelic effects remains partial. Several neurocognitive theories have been developed in recent years to model psychedelic phenomenology, but no unifying theory has emerged. Studies involving larger populations investigating various psychiatric disorders, including several neuroimaging modalities and considering medium- and long-term effects, would be necessary to deepen current knowledge.

[Women and alcohol: From risky use to addiction, the issues at stake]. / Les femmes et l'alcool : de l'usage à risque à l'addiction, les enjeux.

Present in all social circles with proven effects on health, alcohol is the second leading cause of avoidable death after tobacco. Like men, women can be affected by alcohol misuse, or even addiction. As the female organism is more vulnerable to the deleterious effects of alcohol, women are particularly exposed in terms of risks and complications for their physical and mental health.

[Epidemiological and clinical profile of cannabis users at the Addiction Care and Prevention Centre of the Laquintinie Hospital in Douala, Cameroon]. / Profil épidémiologique et clinique des consommateurs de cannabis au centre de soins d'accompagnement et de prévention en addictologie de l'Hôpital Laquintinie de Douala, Cameroun.

Cannabis is the most widely used illicit drug in the world. It is consumed by age groups, the main ones being adolescents and young adults. Its consumption leads to somatic, psychiatric and social complications. Data in our context are scarce. The purpose of our work was to describe the epidemiological and clinical profile of patients with cannabis addiction at the Centre for Care, Support and Prevention of the Laquintinie Hospital in Douala. We conducted a retrospective cross-sectional study of patients followed from March 2021 to July 2022 for cannabis addiction at the Addiction Care, Support and Prevention Center of the Laquintinie Hospital in Douala. The diagnosis of use disorder was based on a dependency syndrome related to cannabis use (single event usage). Data entry and analysis were performed using SPSS version 7.1 software. Of the 45 cases of cannabis addiction, 44 (98%) were male patients with an average age of 21,97 years. The most affected age group was between 20 and 24 years (28/44 or 63%); 49% of consumers were students, 62% of mothers accompanying patient to the consultation. The age of cannabis use initiation was 16 years (31%), the most commonly used form of cannabis was herbal (100%) and 100% of patients used inhalation (smoking). The most common complication was amotivational syndrome (31%). Cannabis use initiation occurs at an early age. The most commonly used form of cannabis is herbal administered through inhalation (smoking). The most common complications are amotivational syndrome, cognitive disorders, sleep disorders and withdrawal syndrome.

Predictors of Cyberchondria During the COVID-19 Pandemic: Cross-sectional Study Using Supervised Machine Learning.

BACKGROUND: Cyberchondria is characterized by repeated and compulsive online searches for health information, resulting in increased health anxiety and distress. It has been conceptualized as a multidimensional construct fueled by both anxiety and compulsivity-related factors and described as a "transdiagnostic compulsive behavioral syndrome," which is associated with health anxiety, problematic internet use, and obsessive-compulsive symptoms. Cyberchondria is not included in the International Classification of Diseases 11th Revision or the Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition, and its defining features, etiological mechanisms, and assessment continue to be debated. OBJECTIVE: This study aims to investigate changes in the severity of cyberchondria during the COVID-19 pandemic and identify the predictors of cyberchondria at this time. METHODS: Data collection started on May 4, 2020, and ended on June 10, 2020, which corresponds to the first wave of the COVID-19 pandemic in Europe. At the time the study took place, French-speaking countries in Europe (France, Switzerland, Belgium, and Luxembourg) all implemented lockdown or semilockdown measures. The survey consisted of a questionnaire collecting demographic information (sex, age, education level, and country of residence) and information about socioeconomic circumstances during the first lockdown (eg, economic situation, housing, and employment status) and was followed by several instruments assessing various psychological and health-related constructs. Inclusion criteria for the study were being at least 18 years of age and having a good understanding of French. Self-report data were collected from 725 participants aged 18-77 (mean 33.29, SD 12.88) years, with females constituting the majority (416/725, 57.4%). RESULTS: The results showed that the COVID-19 pandemic affected various facets of cyberchondria: cyberchondria-related distress and compulsion increased (distress z=-3.651, P<.001; compulsion z=-5.697, P<.001), whereas the reassurance facet of cyberchondria decreased (z=-6.680, P<.001). In addition, COVID-19-related fears and health anxiety emerged as the strongest predictors of cyberchondria-related distress and interference with functioning during the pandemic. CONCLUSIONS: These findings provide evidence of the impact of the COVID-19 pandemic on cyberchondria and identify factors that should be considered in efforts to prevent and manage cyberchondria at times of public health crises. In addition, they are consistent with a theoretical model of cyberchondria during the COVID-19 pandemic proposed in 2020. These findings have implications for the conceptualization and future assessment of cyberchondria.

Development, psychometric validation, and cross-cultural comparison of the "Instagram Motives Questionnaire" (IMQ) and the "Instagram Uses and Patterns Questionnaire" (IUPQ).

Background and aims: Social network use is widespread, and the study of Instagram seems to have captured more attention in recent years. However, scale development and validation in the field has fallen short of providing sound scales of Instagram motives and usage patterns that consider the uniqueness of Instagram-related behavior. This paper describes the development, psychometric and cross-cultural validation of two new measurement instruments: the "Instagram Motives Questionnaire" (IMQ) and the "Instagram Uses and Patterns Questionnaire" (IUPQ). Methods and results: A preliminary set of items was developed for each questionnaire based on a previous qualitative interview study on Instagram motives, uses, and consequences. In the first study, the questionnaires were distributed to a sample of 312 participants aged 18-35 years (M = 23.81; SD = 4.49), and an exploratory factor analysis was performed. A parsimonious and interpretable 6-factor solution that displayed adequate factor loadings and adequate Omega coefficients for both instruments were found. In a second study, the two instruments and other measures of known social network usage correlates and mental health consequences were administered online to 1,418 English-speaking participants aged 18-34 years (M = 21.35; SD = 3.89). Both scales showed good psychometric properties and the factor structure identified in study 1 was reproduced through confirmatory factor analysis. Omega reliability coefficients were adequate. Finally, when performing multi-group CFA along with a French (n = 1,826) and a Spanish (n = 3,040) sample, language and gender invariance were supported. Correlations with other relevant measures indicate good convergent validity of both scales. Conclusions: The present research provides psychometrically sound instruments for further investigations on Instagram use behaviors.

Cannabidiol in the context of substance use disorder treatment: A systematic review.

INTRODUCTION: Cannabidiol (CBD) is a phytocannabinoid found in the Cannabis plant. CBD has received significant medical attention in relation to its anticonvulsant, anxiolytic, and antipsychotic characteristics. An increasing number of studies focusing on the anti-addictive properties of CBD have recently been published. In this systematic review, we aim to offer a comprehensive overview of animal and human studies regarding the impact of CBD on substance use disorders (SUDs). METHODS: A systematic search was performed on the PubMed database in February 2021. We included all articles assessing the effects of CBD on substance use disorders. RESULTS: The current systematic review suggests that CBD might offer promising therapeutic potential for the treatment of SUD, based on available animal and human studies. Animal studies showed a positive impact of CBD in the context of alcohol, opioids, and methamphetamine use (e.g., diminishing of drug-seeking behaviors). The results for cocaine use were mixed among reviewed studies, and CBD was not found to have an effect in animal studies on cannabis use. No animal study was identified that focused on the impact of CBD on nicotine use. Human studies showed a positive impact of CBD in the context of nicotine, cannabis, and opioid use (e.g., frequency and quantity of consumption). In contrast, CBD was not found to have an effect in human studies on cocaine or alcohol use. No human study was identified that investigated the impact of CBD on methamphetamine use. CONCLUSIONS: CBD might offer promising therapeutic potential for the treatment of SUD, especially for nicotine, cannabis, and opioid use disorders, based on available human studies. The available research evidence is, however, sparse and more research on humans is needed.

Effects of the 2020 health crisis on acute alcohol intoxication: A nationwide retrospective observational study.

BACKGROUND: Recent data suggest that the COVID-19 pandemic and associated restrictions may have influenced alcohol use and promoted addictive behavior. We aimed to investigate the impact of the pandemic on acute alcohol intoxication (AAI) in France. METHODS: We identified all hospital stays related to alcohol abuse in 2018-2020. Differences in number of hospitalizations between 2019 and 2020 were tested using Poisson regressions. Differences between observed and expected deliveries of drugs used in alcohol dependence in 2020 were also studied. RESULTS: There was a decrease in the number of hospitalizations for AAI between 2019 and 2020 (-9677[-11·4%],RR:0·89[0·88-0·89]). This decrease was observed among men and women of all age groups, except women ≥ 85 years. We observed an increase in in-hospital mortality during 2020 and more hospitalizations for AAI with certain medical complications, especially during the first 2020 lockdown. There was a drop in observed deliveries of drugs used in alcohol dependence during the first 2020 lockdown. CONCLUSIONS: The decrease in the number of hospitalizations for AAI in 2020 could be explained by several factors: fewer available hospital beds due to COVID-19, individuals with AAI delaying or avoiding medical care due to COVID-19 fears, and decreases driven by younger age groups returning to live with parents and socializing less. While alcohol consumption patterns have changed with the implementation of social distancing measures and lockdowns, the increase in mortality and the share of hospitalizations with complications suggest that these measures had an impact on event severity in a context of strained access to healthcare.

Clinical and biological predictors of psychedelic response in the treatment of psychiatric and addictive disorders: A systematic review.

BACKGROUND: The use of psychedelic treatments has shown very promising results in some psychiatric and addictive disorders, but not all patients achieved a response. AIM: The aim of this review is to explore the clinical and biological factors which could predict the response to psychedelics in psychiatric and addictive disorders. METHODS: A systematic research was performed on MEDLINE, PsycInfo, Web of science, and Scopus databases from January 1990 to May 2020. All studies investigating the predictive factors of response to psychedelics regardless of psychiatric or addictive disorders, were included. RESULTS: Twenty studies investigating addictive disorder, treatment-resistant depression, obsessive-compulsive disorder and depressive and anxiety symptoms in patients with life-threatening cancer were included in this review. We found that, in all indications, the main predictive factor of response to psychedelics is the intensity of the acute psychedelic experience. Indeed, we found this factor for alcohol and tobacco use disorders, treatment-resistant depression, and anxiety and depressive symptoms in patients with life-threatening cancer, but not for obsessive-compulsive disorder. CONCLUSION: The intensity of the acute psychedelic experience was the main predicting factor of response. The action mechanism of this experience was not clear, but some hypotheses could be made, such as a modulation of serotoninergic system by 5-HT2A receptors agonism, a modulation of the default mode network (DMN) with an acute modular disintegration of the DMN followed by a re-integration of this network with a normal functioning, or an anti-inflammatory effect of this treatment.

Complications Related to Sexualized Drug Use: What Can We Learn From Literature?

Chemsex is described as the use of specific psychoactive substances (PS) during sexual activity to sustain, enhance, disinhibit or facilitate the sexual experience. It preferentially concerns men who have sex with men (MSM). They use new synthetic substances like cathinones, methamphetamines, gamma-butyrolactone/gamma-hydroxybutyrate (GBL/GHB), ketamine, and cocaine. The prevalence of chemsex varies from 3 to 31% during lifetime. The Internet has participated significantly in the evolution of sexual behaviors, both in terms of sexual dating and the availability of new synthetic substances. The advent of geolocation applications contributed to the development of chemsex. The literature describes many complications linked to these sexual practices; the main clinical effects related to cathinones consumption were psychiatric symptoms; agitation, hallucinations, anxiety, suicidal ideation, paranoia, and confusion. Regular GBL/GHB consumption alter cognitive functions, particularly memory and emotion management. Use of these drugs in party and play is dramatically associated with high-risk sexual behaviors. The prevalence of hepatitis B, hepatitis C syphilis, and HIV is higher in men who use methamphetamine and Viagra and/or who declared they practiced slamming, chemsex, and fisting. Other sexually transmitted infections (STIs) such as gonorrhea have increased with methamphetamine and GHB/GBL use. Actually, the care of individuals who practice Chemsex in a problematic way is currently not codified, but the use of integrative and specific interventions is necessary.

Efficacy of psychedelic treatments on depressive symptoms: A meta-analysis.

BACKGROUND: Psychedelic drugs have shown an efficacy in some psychiatric disorders and have an original mechanism of action with a 5-HT2A agonism. AIM: The aim of this meta-analysis was to assess by a quantitative analysis the putative efficacy of psychedelic drugs on depressive symptoms and to investigate the kinetic of this efficacy. METHODS: We searched the MEDLINE and PsycINFO databases through April 2019, without limits on year of publication. Means and standard deviations were extracted to calculate standardized mean differences (SMD). Scores of depressive symptoms were compared with baseline scores at days 7, 14, and 21; weeks 4-5 and 6-8; and months 3 and 6. RESULTS: Eight studies were included in this meta-analysis. A significant decrease of depressive symptoms was found from day 1 (n = 5 studies; SMD = ‒1.4, 95% confidence interval (CI): ‒2.33 to ‒0.48, p = 0.003) to 6 months (n = 4 studies; SMD = ‒1.07, 95% CI: ‒1.44 to ‒0.7, p < 0.001) after psychedelic sessions. No serious adverse effect was reported in all included studies. A transient increase of the heart rate, blood systolic, and diastolic pressure were found after psychedelics compared with placebo. CONCLUSION: This meta-analysis shows that psychedelic treatments were safe and could contribute to a rapid improvement of depressive symptoms.

Overcoming the unitary exploration of binge-watching: A cluster analytical approach.

BACKGROUND AND AIMS: Binge-watching (i.e., watching multiple episodes of a TV series in one session) has recently become standard practice among TV series viewers; this expansion generates concerns regarding the potential negative outcomes associated with this habit. However, the investigation of its psychological correlates remains fragmentary, with few initial studies a priori conceptualizing this behavior as a new addictive disorder. This study explored these psychological correlates using cluster analysis of binge-watching behavior based on three key psychological factors: motivations, impulsivity, and emotional reactivity. METHODS: An online survey was completed by 4,039 TV series viewers. Data were analyzed using hierarchical and non-hierarchical cluster analyses, the validity of the clusters being finally determined through mutual comparisons with a selection of external correlates. RESULTS: Four clusters were identified: recreational TV series viewers (presenting low involvement in binge-watching), regulated binge-watchers (moderately involved), avid binge-watchers (presenting elevated but non-problematic involvement), and unregulated binge-watchers (presenting potentially problematic involvement associated with negative outcomes). DISCUSSION AND CONCLUSIONS: This study underlines the heterogeneous and multidetermined nature of binge-watching. Our findings suggest that high engagement in binge-watching is distinct from problematic binge-watching, thus reinforcing the notion that conceptualizing binge-watching as an addictive disorder is of low relevance and might actually lead to the overpathologization of this highly popular leisure activity.

[Sex addiction: losing its taboo]. / Un tabou qui ne l'est plus : l'addiction sexuelle.

Sex addiction or dependency is a complex and debilitating pathology characterised by a disproportionate preoccupation with sex or sexual activity. The aim of scientific research carried out into this disorder is both nosographic, to establish which subtype of mental disorder it belongs to, and physiopathological, to explain its origin and develop potential therapies. A state of the science on sexual dependency is charted, in the world of psychiatry, based on its very first mention to the present day.

New synthetic opioids: Part of a new addiction landscape.

Synthetic opioids (SO) are a major risk for public health across the world. These drugs can be divided into 2 categories, pharmaceutical and non-pharmaceutical fentanyls. A new generation of SO has emerged on the drug market since 2010. North America is currently facing an opioid epidemic of morbi-mortality, caused by over-prescription of opioids, illegally diverted prescribed medicines, the increasing use of heroin and the emergence of SO. Furthermore, this opioid crisis is also seen in Europe. SO are new psychoactive substances characterized by different feature such as easy availability on the Internet, low price, purity, legality, and lack of detection in laboratory tests. They have not been approved or are not recommended for human use. Opioid misuse is associated with somatic and psychiatric complications. For many substances, limited pharmacological information is available, increasing the risk of harmful adverse events. Health actors and the general population need to be clearly informed of the potential risks and consequences of the diffusion and use of SO.

Where the Mind Cannot Dare: A Case of Addictive Use of Online Pornography and Its Relationship With Childhood Trauma.

Dysfunctional use of cybersex has often been conceptualized as a "behavioral addiction" sharing common traits with substance addiction. We describe the case of a treatment-seeking man, who displayed addictive use of pornography. The case is presented from two perspectives: (1) a symptom-based approach inspired by the addiction model of excessive sexual behaviors and (2) a process-based approach aimed to identify the psychological processes and risk factors that may foster the development of addiction-like symptoms. This article shows how case conceptualization according to a process-based approach is likely to result in psychological intervention that targets the specific processes and risk factors involved in addictive cybersex use.

Systematic Review of Food Addiction as Measured with the Yale Food Addiction Scale: Implications for the Food Addiction Construct.

BACKGROUND: The concept of food addiction attracts much interest in the scientific community. Research is mainly based on the Yale Food Addiction Scale (YFAS), a tool developed to assess food addiction. Substance use disorder criteria have been used to develop this scale. OBJECTIVE: The aim of this paper was to review the clinical significance of food addiction diagnoses made with the YFAS and to discuss the results in light of the current debate on behavioral addictions. METHODS: We performed a systematic review of the studies that assessed food addiction with the YFAS published between January 2014 and July 2017 by searching the electronic databases PsycINFO, MEDLINE, and PsycARTICLES. RESULTS: Sixty publications were included in the analysis. Thirty-three studies examined nonclinical samples and 27 examined clinical samples. All studies used YFAS scoring results to define food addiction. The prevalence of food addiction according to the YFAS varied largely by the studied samples. In general, a higher body mass index and the presence of eating disorders (EDs), especially binge eating disorder (BED), were associated with higher YFAS scores. CONCLUSION: The concept of food addiction has not been established to this day although it can be grouped with other EDs such as BED. More research is needed to understand this behavior and the differences between food addiction and other EDs. The criteria for food addiction should be revisited in light of the concepts currently used to examine behavioral addictions.

Ten-Item Internet Gaming Disorder Test (IGDT-10): Measurement invariance and cross-cultural validation across seven language-based samples.

The Ten-Item Internet Gaming Disorder Test (IGDT-10) is a short screening instrument developed to assess Internet gaming disorder (IGD) as proposed in the Diagnostic and Statistical Manual of MentalDisorders, fifth edition (DSM-5), adopting a concise, clear, and consistent item-wording. According to initial studies conducted in 2014, the instrument showed promising psychometric characteristics. The present study tested the psychometric properties, including language and gender invariance, in a large international sample of online gamers. In this study, data were collected from 7,193 participants comprising Hungarian (n = 3,924), Iranian (n = 791), English-speaking (n = 754), French-speaking (n = 421), Norwegian (n = 195), Czech (n = 496), and Peruvian (n = 612) online gamers via gaming-related websites and gaming-related social-networking-site groups. A unidimensional factor structure provided a good fit to the data in all language-based samples. In addition, results indicated both language and gender invariance on the level of scalar invariance. Criterion and construct validity of the IGDT-10 was supported by its strong association with the Problematic Online Gaming Questionnaire and moderate association with weekly gaming time, psychopathological symptoms, and impulsivity. The proportions of each sample that met the cut-off score on the IGDT-10 varied between 1.61% and 4.48% in the individual samples, except for the Peruvian sample (13.44%). The IGDT-10 shows robust psychometric properties and appears suitable for conducting cross-cultural and gender comparisons across seven languages. (PsycINFO Database Record (c) 2019 APA, all rights reserved).

Disentangling the role of users' preferences and impulsivity traits in problematic Facebook use.

The use of social network sites (SNSs) has grown dramatically. Numerous studies have shown that SNS users may suffer from excessive use, associated with addictive-like symptoms. With a focus on the popular SNS Facebook (FB), our aims in the current study were twofold: First, to explore the heterogeneity of FB usage and determine which kind of FB activity predicts problematic usage; second, to test whether specific impulsivity facets predict problematic use of FB. To this end, a sample of FB users (N = 676) completed an online survey assessing usage preferences (e.g., types of activities performed), symptoms of problematic FB use and impulsivity traits. Results indicated that specific usage preferences (updating one's status, gaming via FB, and using notifications) and impulsive traits (positive and negative urgency, lack of perseverance) are associated to problematic FB use. This study underscores that labels such as FB "addiction" are misleading and that focusing on the actual activities performed on SNSs is crucial when considering dysfunctional usage. Furthermore, this study clarified the role of impulsivity in problematic FB use by building on a theoretically driven model of impulsivity that assumes its multidimensional nature. The current findings have identifiable theoretical and public health implications.

e-Addictology: An Overview of New Technologies for Assessing and Intervening in Addictive Behaviors.

BACKGROUND: New technologies can profoundly change the way we understand psychiatric pathologies and addictive disorders. New concepts are emerging with the development of more accurate means of collecting live data, computerized questionnaires, and the use of passive data. Digital phenotyping, a paradigmatic example, refers to the use of computerized measurement tools to capture the characteristics of different psychiatric disorders. Similarly, machine learning-a form of artificial intelligence-can improve the classification of patients based on patterns that clinicians have not always considered in the past. Remote or automated interventions (web-based or smartphone-based apps), as well as virtual reality and neurofeedback, are already available or under development. OBJECTIVE: These recent changes have the potential to disrupt practices, as well as practitioners' beliefs, ethics and representations, and may even call into question their professional culture. However, the impact of new technologies on health professionals' practice in addictive disorder care has yet to be determined. In the present paper, we therefore present an overview of new technology in the field of addiction medicine. METHOD: Using the keywords [e-health], [m-health], [computer], [mobile], [smartphone], [wearable], [digital], [machine learning], [ecological momentary assessment], [biofeedback] and [virtual reality], we searched the PubMed database for the most representative articles in the field of assessment and interventions in substance use disorders. RESULTS: We screened 595 abstracts and analyzed 92 articles, dividing them into seven categories: e-health program and web-based interventions, machine learning, computerized adaptive testing, wearable devices and digital phenotyping, ecological momentary assessment, biofeedback, and virtual reality. CONCLUSION: This overview shows that new technologies can improve assessment and interventions in the field of addictive disorders. The precise role of connected devices, artificial intelligence and remote monitoring remains to be defined. If they are to be used effectively, these tools must be explained and adapted to the different profiles of physicians and patients. The involvement of patients, caregivers and other health professionals is essential to their design and assessment.