ReviewBrain sciences2024
The Limbic System in Co-Occurring Substance Use and Anxiety Disorders: A Narrative Review Using the RDoC Framework.
Review in Brain sciences, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
8 citing papers in PubMed.
- MAC/MAB-RCS: An Integrative Regulatory Control Framework for Risk Stratification and Personalized Intervention in Addiction Psychiatry.Brain sciences · 2026Review
- Beyond the brain circuit: a biopsychosocial integrative review of addiction neuroscience, epigenetic mechanisms, and multidisciplinary treatment.Frontiers in psychiatry · 2026Review
- The Descriptive Epidemiology of Panic Attacks and Panic Disorder in Australia 2020-22: Prevalence, Correlates, Age of Onset and Changes Over Time.Depression and anxiety · 2026Article
- Identifying Neurobehavioral Biomarkers of Anxiety and Treatment Response Using Virtual Reality, Electroencephalography, Magnetic Resonance Imaging, and Related Multimodal Assessments: A Longitudinal Study Protocol.Journal of clinical medicine · 2025Article
- Cannabinoid CB1 receptor in dopaminergic circuit from ventral tegmental area to nucleus accumbens links trait anxiety with reward learning.Translational psychiatry · 2025Article
- Influence of the HPA Axis on Anxiety-Related Processes: An RDoC Overview Considering Their Neural Correlates.Current psychiatry reports · 2025Review
- Rumination and drug craving scores in Chinese male patients with methamphetamine and heroin use disorders: a cross-sectional study.Substance abuse treatment, prevention, and policy · 2025Article
- Spatial Cell Atlas of Lateral Septum Reveals Changes Underlying Anxiety and Fear Learning Deficits in Mice with Abnormal Immunity.International journal of biological sciences · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
Abstract
Substance use disorders (SUDs) and anxiety disorders (ADs) are highly comorbid, a co-occurrence linked to worse clinical outcomes than either condition alone. While the neurobiological mechanisms involved in SUDs and anxiety disorders are intensively studied separately, the mechanisms underlying their comorbidity remain an emerging area of interest. This narrative review explores the neurobiological processes underlying this comorbidity, using the Research Domain Criteria (RDoC) framework to map disruptions in positive valence, negative valence, and cognitive systems across the three stages of the addiction cycle: binge/intoxication, withdrawal/negative affect, and preoccupation/anticipation. Anxiety and substance use play a reciprocal role at each stage of addiction, marked by significant psychosocial impairment and dysregulation in the brain. A more thorough understanding of the neural underpinnings involved in comorbid SUDs and anxiety disorders will contribute to more tailored and effective therapeutic interventions and assessments.
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What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.