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RecruitingNCT07734363CARDEMAUpdated Jul 29, 2026

Role of Craving in the Transition Across Level of Addiction Severity: A Longitudinal Study.

An observational study in Addiction, sponsored by University of Bordeaux. Recruiting at 1 site in France. Open to participants aged 18 Years and older. Per ClinicalTrials.gov, last updated 2026-07-29.

Primary conditionBehavior, Addictive(the registry's first term)UnverifiedIs this wrong?Behavior, Addictive is a broad heading, used only when no more specific condition is named. No better condition is named, so the registry's term is kept.

Sponsored by University of Bordeaux · Observational

From the registry’s dates

  • Started May 2026; still recruiting 5 months later.
Study type
Observational
Model
Cohort
Time perspective
Prospective
Enrollment
700
Ages
18 Years and older
Sex
All
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Study summary

Substance/Alcohol Use disorders are defined as a loss of control over the use despite harmul consequences, as well as an intense and persistent urge to use, also called craving. Previous research has shown that craving is central among the diagnostic criteria for addiction, suggesting that it may be important in the onset and persistence of addiction.

Addiction develops progressively, and it appears crucial to identify predictive markers of the transition from one level of severity to another over time. One hypothesis is that more closely linked symptoms (meaning symptoms that influence each other more) could be associated with greater severity and/or with the evolution of addiction severity over time.

The aim of this project is to explore how the characteristics of the association between addiction symptoms (diagnostic criteria and symptoms as they occur in daily life), and the importance of craving relative to other symptoms, could serve as markers of different addiction severities and of the transition across these levels of severity.

Read the detailed description

Exploratory analyses will assess whether craving network metrics, including craving symptom centrality, network global strength, and node predictability, are associated with participant characteristics and clinical measures. Potential predictors and correlates will include sociodemographic characteristics, addiction type and history, psychiatric comorbidities, addiction severity, cognitive performance, personality traits, insight, interoceptive awareness, anxiety and depressive symptoms, childhood trauma, and quality of life. These variables will be assessed using age and sex data, addiction history variables, the Mini International Neuropsychiatric Interview, Addiction Severity Index, Montreal Cognitive Assessment, Iowa Gambling Task, Stroop task, UPPS-P Impulsive Behavior Scale, Sensation Seeking Scale, Temperament and Character Inventory, HAIS-m, MAIA-2, Beck Anxiety Inventory, Beck Depression Inventory, Childhood Trauma Questionnaire-Short Form, and Quality of Life Enjoyment and Satisfaction Questionnaire-Short Form. Associations will be explored using correlation and regression analyses, as appropriate to the distribution and measurement level of each variable, at baseline and at the 1-year and 2-year follow-ups.

02

Conditions studied

  • Addiction

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Keywords

  • Substance Use Disorder
  • Addiction
  • Symptoms network
  • Ecological Momentary Assessment
  • Trajectory
  • Staging
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In context

Behavior, Addictive Unverified

521 studies on the registry are indexed under Behavior, Addictive; 124 are open to participants now.

This study's planned enrollment of 700 is above the median of 158 across 106 observational studies indexed under Behavior, Addictive.

Browse Behavior, Addictive studies →

Lead sponsor

University of Bordeaux is the lead sponsor of 17 studies on the registry; 8 are open to participants now.

Compared within Behavior, Addictive, the registry's first condition term, which may not be this study's main condition. Counted across the registry records on this site, refreshed daily. How we classify →

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Who can participate

Ages eligible
18 Years and older
Sexes eligible
All
Accepts healthy volunteers
No
Sampling method
Non-probability sample

Study population

Patients who have initiated treatment for addiction in a Centre de Soin et d'Accompagnement et de Prévention en Addictologie in France; People with addiction recruited from the general population via recruitment campaigns (posters, partner institutions websites, newspaper, social media); Users of Kanopée, a smartphone application developed by SANPSY Lab, who reported problematic tobacco, alcohol or cannabis use.

Go through the criteria one by one — yes, no or not sure — and take the list to your doctor or the study team. Kept in this browser only.

Inclusion criteria

  • Be over 18 years of age
  • Identify a primary substance as a main problematic substance use.
  • Be a regular user (at least twice a week in the last 30 days) of a primary substance (defined as their main problematic substance use).
  • Present a current diagnosis of SUD for this primary substance according to criteria.

Exclusion criteria

Exclusion Criteria

  • Medical, psychiatric or addiction condition that warrants immediate inpatient treatment intervention.
  • Somatic, cognitive or other disorders preventing the use of the smartphone device (deafness, impaired vision, illiteracy….).
  • Not being familiar with the use of smartphone
  • Having a smartphone not compatible with the application and being unable to visit the laboratory to receive a loaner phone for the study.
  • Difficulty in understanding and/or writing and/or reading French.
  • Individuals participating in another study that includes an ongoing exclusion period.
  • Be deprived of liberty due to an ongoing legal procedure.
  • Be under legal protection.
  • Be under guardianship or conservatorship.
Terms in these criteria, in plain language(1)

Underlined terms in the criteria open these too. Explained by clinicaltrials.gg, not part of the registry record. The study team decides who can take part.

DSM diagnostic criteria

The American Psychiatric Association’s manual of mental health diagnoses. DSM-5 (2013, revised as DSM-5-TR in 2022) replaced DSM-IV, and some studies still name the older edition. “Meets DSM criteria for …” means diagnosed by that edition’s diagnostic criteria, usually by a clinician in an interview.

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Study design

Observational model
Cohort
Time perspective
Prospective
Enrollment
700 participants (estimated)
Patient registry
No

Groups and cohorts

  • Alcohol

    Participants with various level of Alcohol Use Disorder severity

    Other: Observational assessments (EMA and annual DSM-5 evaluations)

  • Tobacco

    Participants with various level of Tobacco Use Disorder severity

    Other: Observational assessments (EMA and annual DSM-5 evaluations)

  • Cannabis

    Participants with various level of CannabisUse Disorder severity

    Other: Observational assessments (EMA and annual DSM-5 evaluations)

  • Opiates

    Participants with various level of Opiates Use Disorder severity.

    Other: Observational assessments (EMA and annual DSM-5 evaluations)

  • Stimulants

    Participants with various level of Stimulant Use Disorder severity

    Other: Observational assessments (EMA and annual DSM-5 evaluations)

Interventions

  • OtherObservational assessments (EMA and annual DSM-5 evaluations)

    Participants are observed over two years. Annual DSM-5 diagnostic criteria for substance use disorders (SUD) are assessed, and participants complete 2-week EMA protocols measuring substance use, craving, and related factors four times per day. No intervention is administered.

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What researchers measure

Primary outcomes

  1. Craving centrality in the DSM-5 Substance Use Disorder diagnostic criteria network

    Craving centrality will be quantified as the expected influence centrality of the DSM-5 craving criterion within a cross-sectional network including the 11 DSM-5 Substance Use Disorder diagnostic criteria. Expected influence values will be estimated for each assessment (baseline, 1-year and 2-year follow-up) and compared across addiction severity groups and severity transition groups.

    Time frame: Baseline, 1-year follow-up, 2-year follow-up

  2. Global connectivity of the DSM-5 Substance Use Disorder diagnostic criteria network

    Global network connectivity will be quantified as global strength (sum of absolute edge weights) of the DSM-5 diagnostic criteria network. Global strength estimates will be compared across addiction severity groups and severity transition groups.

    Time frame: Baseline, 1-year follow-up, 2-year follow-up

  3. Predictability of nodes in the DSM-5 Substance Use Disorder diagnostic criteria network

    Node predictability will be calculated as the proportion of variance explained (R²) for each DSM-5 diagnostic criterion by its neighboring nodes within the network. Mean node predictability will be reported and compared across addiction severity groups and severity transition groups.

    Time frame: Baseline, 1-year follow-up, 2-year follow-up

  4. Differences in DSM-5 Substance Use Disorder diagnostic criteria network structure

    Differences in overall network structure and global strength between addiction severity groups and severity transition groups will be evaluated using the Network Comparison Test (NCT). The reported outcome will be the statistical significance of differences in network structure.

    Time frame: Baseline, 1-year follow-up, 2-year follow-up

  5. Temporal network structure of ecological momentary assessment (EMA) symptoms

    Temporal directed network parameters estimated from ecological momentary assessment data including primary substance use, craving, affect, self-efficacy, withdrawal symptoms, cues, stress, coping, sleep, impulsivity and other daily-life variables. Temporal edge weights will be estimated using multilevel vector autoregressive models and compared across severity groups and severity transition groups.

    Time frame: Baseline, 1-year follow-up, 2-year follow-up

  6. Contemporaneous network structure of ecological momentary assessment (EMA) symptoms

    Contemporaneous partial correlation network estimated from ecological momentary assessment variables. Network structure will be compared across severity groups and severity transition groups.

    Time frame: Baseline, 1-year follow-up, 2-year follow-up

  7. Between-subject network structure of ecological momentary assessment (EMA) symptoms

    Between-subject partial correlation network estimated from ecological momentary assessment variables. Network structure will be compared across severity groups and severity transition groups.

    Time frame: Baseline, 1-year follow-up, 2-year follow-up

  8. Individual network invariance assessed by the Individual Network Invariance Test (INIT)

    Individual Network Invariance Test (INIT) results will assess whether each participant's symptom network significantly differs from the group-level network. The proportion of significant INIT tests will be reported and compared across severity groups.

    Time frame: Baseline, 1-year follow-up, 2-year follow-up

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Study locations

1 of 1 sites recruiting
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References and documents

Individual participant data

Plan to share: Yes — Deidentified individual participant data will be available upon reasonable request to the principal investigator. Access will be granted to researchers who provide a methodologically sound proposal for achieving the aims of the approved proposal. A data access agreement may be required before the data are released.

No publications or documents are linked to this record.

09

Updates

Tracking since Sep 25, 2026
No changes since tracking began. The registry record was last updated on Jul 29, 2026, before this site started recording changes on Sep 25, 2026. Its history is on ClinicalTrials.gov ↗
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Registry details

Key details

Study ID
NCT07734363
Lead sponsor
University of Bordeaux
Responsible party
Sponsor
First posted
Jul 29, 2026
Start date
May 20, 2026
Primary completion
Dec 2030 (estimated)
Completion
Jun 2031 (estimated)
Last update
Jul 29, 2026

Study contacts

Fuschia SERRE, Ph-D
Contact
fuschia.serre@u-bordeaux.fr
+33 05 56 56 17 38
Fuschia SERRE
principal investigator · University of Bordeaux

Oversight

Data monitoring committee
No
FDA-regulated drug
No
FDA-regulated device
No
View the source record on ClinicalTrials.gov ↗

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