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Panic

Psychiatry and Psychology · NLM MeSH · updated 2026-11-04 · version 1

Citations verified against PubMedNot yet clinician-reviewed10 referencesApproximately 5 min read

A state of extreme acute, intense anxiety and unreasoning fear accompanied by disorganization of personality function.

Table of Contents

1. Definition2. Research landscape3. Reading the evidence4. Open-access studies5. Key reviews6. References7. About this article

Definition and research guide

This page combines a MeSH definition, publication statistics and selected research abstracts. It is a starting point for reading the literature, not a medical textbook or a systematic evidence review.

Content available: 4 complete abstracts (907 words), 10 references. Full article text is not stored or reproduced here; follow the PMID, DOI or PMC links to read the original sources and their access terms.

Definition

A state of extreme acute, intense anxiety and unreasoning fear accompanied by disorganization of personality function.

Definition: NLM Medical Subject Headings (MeSH) scope note (Public domain (U.S. National Library of Medicine); attribution requested). View the MeSH record.

Also known as: Panics.

Where it fits in the MeSH classification

Broader topics
Fear

Research landscape

PubMed indexes 2,737 records tagged with the MeSH heading “Panic” (counts retrieved 2026-10-31). 134 of them (4.9%) were published from 2020 onward, and the busiest period so far is through 1999 with 2,122 records.

Reviews account for 312 records (11.4%) and meta-analyses for 5. Randomized controlled trials number 192 (7.0%) as a share of all records on the topic.

PubMed records by publication periodthrough 1999: 2,122 records; 2000-2009: 220 records; 2010-2019: 261 records; 2020 onward: 134 records2,122through 19992202000-20092612010-20191342020 onward
Records in PubMed indexed with this heading, by publication period. Real counts from NCBI E-utilities; the final period covers only part of the current year. Volume reflects how much has been published, not how strong the evidence is.
Show the data
PeriodRecords
through 19992,122
2000-2009220
2010-2019261
2020 onward134
Share of records by publication typeReviews: 11.4 percent; Meta-analyses: 0.2 percent; Randomized controlled trials: 7.0 percentReviews11.4% (312)Meta-analyses0.2% (5)Randomized controlled trials7.0% (192)
Share of all PubMed records on this heading that carry each publication type. Types overlap with other records, so the shares do not sum to 100%.
Publication-type chart data
Publication types among 2,737 PubMed records
TypeRecordsShare
Reviews31211.4%
Meta-analyses50.2%
Randomized controlled trials1927.0%

Method: PubMed query "Panic"[MeSH Terms] with publication-type and date filters, retrieved 2026-10-31.

Reading the evidence in psychiatry and psychology

Research on mental health and behaviour relies on questionnaires, interviews and rating scales rather than physical measurements, so how a condition was defined and measured shapes every result. Many studies are observational or small, placebo responses can be large, and findings in one group or culture may not carry over to another. Nothing on this page is advice about diagnosis or treatment; anyone worried about their mental health should talk to a qualified clinician. Check how outcomes were measured, who took part and how long they were followed.

Evidence from open-access studies

These open-access studies come from PubMed’s best-match results for this heading (papers whose main topic it is), ranked here by citation count, with one recent addition. Each abstract is reproduced in full under its recorded open licence so that you can read the authors’ own words. They illustrate the literature; they are not a systematic summary of it. Citation counts measure attention, not reliability or clinical benefit.

Study comparison — selected abstracts, not a systematic review
Study / authorsYearSource label / designEurope PMC citationsLicence / source
CO2 exposure as translational cross-species experimental model for panic
Leibold NK, van den Hove DL, Viechtbauer W, Buchanan GF, Goossens L, Lange I, et al.
2016Research article
Design not recorded in structured metadata
59cc by
PMID 27598969 · DOI · PMC5048202
Translational evaluation of novel selective orexin-1 receptor antagonist JNJ-61393215 in an experimental model for panic in rodents and humans
Salvadore G, Bonaventure P, Shekhar A, Johnson PL, Lord B, Shireman BT, et al.
2020Research article
Design not recorded in structured metadata
41cc by
PMID 32895369 · DOI · PMC7477545
Pandemic buying: Testing a psychological model of over-purchasing and panic buying using data from the United Kingdom and the Republic of Ireland during the early phase of the COVID-19 pandemic
Bentall RP, Lloyd A, Bennett K, McKay R, Mason L, Murphy J, et al.
2021Research article
Design not recorded in structured metadata
36cc by
PMID 33503049 · DOI · PMC7840055
Midbrain PAG Astrocytes Modulate Mouse Defensive and Panic-Like Behaviors
Barcelon E, Noh K, Hwang M, Kim YJ, Lee U, Ryu YJ, et al.
2026Research article
Design not recorded in structured metadata
3cc by
PMID 41636093 · DOI · PMC13045357

CO2 exposure as translational cross-species experimental model for panic [1]

Research article Leibold NK, van den Hove DL, Viechtbauer W, Buchanan GF, Goossens L, Lange I, et al. · · 2016 · cited 59 times (Europe PMC)

Abstract reading summary — source excerpts
Opening excerpt
The current diagnostic criteria of the Diagnostic and Statistical Manual of Mental Disorders are being challenged by the heterogeneity and the symptom overlap of psychiatric disorders.
Closing excerpt
This will allow significant progress in unraveling the etiological basis of panic disorder and will be highly beneficial for refining the diagnostic categories as well as treatment strategies.
Interpretation limits
Verbatim excerpts from the authors’ abstract; the closing excerpt may describe a finding, limitation or recommendation. Design, population, effect size and uncertainty have not been independently extracted or appraised. Read the complete abstract and linked paper before interpreting the findings.
Read complete abstract (225 words)

The current diagnostic criteria of the Diagnostic and Statistical Manual of Mental Disorders are being challenged by the heterogeneity and the symptom overlap of psychiatric disorders. Therefore, a framework toward a more etiology-based classification has been initiated by the US National Institute of Mental Health, the research domain criteria project. The basic neurobiology of human psychiatric disorders is often studied in rodent models. However, the differences in outcome measurements hamper the translation of knowledge. Here, we aimed to present a translational panic model by using the same stimulus and by quantitatively comparing the same outcome measurements in rodents, healthy human subjects and panic disorder patients within one large project. We measured the behavioral-emotional and bodily response to CO2 exposure in all three samples, allowing for a reliable cross-species comparison. We show that CO2 exposure causes a robust fear response in terms of behavior in mice and panic symptom ratings in healthy volunteers and panic disorder patients. To improve comparability, we next assessed the respiratory and cardiovascular response to CO2, demonstrating corresponding respiratory and cardiovascular effects across both species. This project bridges the gap between basic and human research to improve the translation of knowledge between these disciplines. This will allow significant progress in unraveling the etiological basis of panic disorder and will be highly beneficial for refining the diagnostic categories as well as treatment strategies.

Abstract reproduced from the open-access article under the recorded cc by licence; © the authors. PMID 27598969 · DOI · PMC5048202

Translational evaluation of novel selective orexin-1 receptor antagonist JNJ-61393215 in an experimental model for panic in rodents and humans [2]

Research article Salvadore G, Bonaventure P, Shekhar A, Johnson PL, Lord B, Shireman BT, et al. · · 2020 · cited 41 times (Europe PMC)

Abstract reading summary — source excerpts
Opening excerpt
Orexin neurons originating in the perifornical and lateral hypothalamic area project to anxiety- and panic-associated neural circuitry, and are highly reactive to anxiogenic stimuli.
Closing excerpt
These results support the safety, tolerability, and anxiolytic effects of JNJ-61393215, and validate CO2 exposure as a translational cross-species experimental model to evaluate the therapeutic potential of novel anxiolytic drugs.
Interpretation limits
Verbatim excerpts from the authors’ abstract; the closing excerpt may describe a finding, limitation or recommendation. Design, population, effect size and uncertainty have not been independently extracted or appraised. Read the complete abstract and linked paper before interpreting the findings.
Read complete abstract (231 words)

Orexin neurons originating in the perifornical and lateral hypothalamic area project to anxiety- and panic-associated neural circuitry, and are highly reactive to anxiogenic stimuli. Preclinical evidence suggests that the orexin system, and particularly the orexin-1 receptor (OX1R), may be involved in the pathophysiology of panic and anxiety. Selective OX1R antagonists thus may constitute a potential new treatment strategy for panic- and anxiety-related disorders. Here, we characterized a novel selective OX1R antagonist, JNJ-61393215, and determined its affinity and potency for human and rat OX1R in vitro. We also evaluated the safety, pharmacokinetic, and pharmacodynamic properties of JNJ-61393215 in first-in-human single- and multiple-ascending dose studies conducted. Finally, the potential anxiolytic effects of JNJ-61393215 were evaluated both in rats and in healthy men using 35% CO2 inhalation challenge to induce panic symptoms. In the rat CO2 model of panic anxiety, JNJ-61393215 demonstrated dose-dependent attenuation of CO2-induced panic-like behavior without altering baseline locomotor or autonomic activity, and had minimal effect on spontaneous sleep. In phase-1 human studies, JNJ-61393215 at 90 mg demonstrated significant reduction (P 2-induced fear and anxiety symptoms that were comparable to those obtained using alprazolam. The most frequently reported adverse events were somnolence and headache, and all events were mild in severity. These results support the safety, tolerability, and anxiolytic effects of JNJ-61393215, and validate CO2 exposure as a translational cross-species experimental model to evaluate the therapeutic potential of novel anxiolytic drugs.

Abstract reproduced from the open-access article under the recorded cc by licence; © the authors. PMID 32895369 · DOI · PMC7477545

Pandemic buying: Testing a psychological model of over-purchasing and panic buying using data from the United Kingdom and the Republic of Ireland during the early phase of the COVID-19 pandemic [3]

Research article Bentall RP, Lloyd A, Bennett K, McKay R, Mason L, Murphy J, et al. · · 2021 · cited 36 times (Europe PMC)

Abstract reading summary — source excerpts
Opening excerpt
The over-purchasing and hoarding of necessities is a common response to crises, especially in developed economies where there is normally an expectation of plentiful supply.
Closing excerpt
With some caveats, the data supported our model and points to strategies to mitigate over-purchasing in future crises.
Interpretation limits
Verbatim excerpts from the authors’ abstract; the closing excerpt may describe a finding, limitation or recommendation. Design, population, effect size and uncertainty have not been independently extracted or appraised. Read the complete abstract and linked paper before interpreting the findings.
Read complete abstract (305 words)

The over-purchasing and hoarding of necessities is a common response to crises, especially in developed economies where there is normally an expectation of plentiful supply. This behaviour was observed internationally during the early stages of the Covid-19 pandemic. In the absence of actual scarcity, this behaviour can be described as 'panic buying' and can lead to temporary shortages. However, there have been few psychological studies of this phenomenon. Here we propose a psychological model of over-purchasing informed by animal foraging theory and make predictions about variables that predict over-purchasing by either exacerbating or mitigating the anticipation of future scarcity. These variables include additional scarcity cues (e.g. loss of income), distress (e.g. depression), psychological factors that draw attention to these cues (e.g. neuroticism) or to reassuring messages (eg. analytical reasoning) or which facilitate over-purchasing (e.g. income). We tested our model in parallel nationally representative internet surveys of the adult general population conducted in the United Kingdom (UK: N = 2025) and the Republic of Ireland (RoI: N = 1041) 52 and 31 days after the first confirmed cases of COVID-19 were detected in the UK and RoI, respectively. About three quarters of participants reported minimal over-purchasing. There was more over-purchasing in RoI vs UK and in urban vs rural areas. When over-purchasing occurred, in both countries it was observed across a wide range of product categories and was accounted for by a single latent factor. It was positively predicted by household income, the presence of children at home, psychological distress (depression, death anxiety), threat sensitivity (right wing authoritarianism) and mistrust of others (paranoia). Analytic reasoning ability had an inhibitory effect. Predictor variables accounted for 36% and 34% of the variance in over-purchasing in the UK and RoI respectively. With some caveats, the data supported our model and points to strategies to mitigate over-purchasing in future crises.

Abstract reproduced from the open-access article under the recorded cc by licence; © the authors. PMID 33503049 · DOI · PMC7840055

Midbrain PAG Astrocytes Modulate Mouse Defensive and Panic-Like Behaviors [4]

Research article Barcelon E, Noh K, Hwang M, Kim YJ, Lee U, Ryu YJ, et al. · · 2026 · cited 3 times (Europe PMC)

Abstract reading summary — source excerpts
Opening excerpt
Defensive behaviors against threatening situations are crucial for survival, and maladaptation of neural functions involved in defensive behavior may result in panic-like behavior.
Closing excerpt
Our results suggest that PAG astrocytes are neurobiological substrates underlying defensive dysregulation and might be an important cue in panic-related behaviors via increased calcium activity and ATP release.
Interpretation limits
Verbatim excerpts from the authors’ abstract; the closing excerpt may describe a finding, limitation or recommendation. Design, population, effect size and uncertainty have not been independently extracted or appraised. Read the complete abstract and linked paper before interpreting the findings.
Read complete abstract (146 words)

Defensive behaviors against threatening situations are crucial for survival, and maladaptation of neural functions involved in defensive behavior may result in panic-like behavior. Defensive behaviors must be optimized for animals to efficiently avoid danger and maximize their chance of survival. The midbrain periaqueductal gray (PAG) controls defensive behaviors. However, the substrate of dysregulated panic-like defensive responses remains unknown. Using in vivo calcium imaging and recordings in mice, we found that PAG astrocytes are activated during threatening situations and trigger defensive behaviors. Using optogenetic astrocyte modulation and electrophysiological experiments, we provide evidence that PAG astrocyte activation and subsequent ATP release are required for optimal defensive behavior; aberrant activation of PAG astrocytes leads to maladaptive defensive behavior resembling panic-like behavior. Our results suggest that PAG astrocytes are neurobiological substrates underlying defensive dysregulation and might be an important cue in panic-related behaviors via increased calcium activity and ATP release.

Abstract reproduced from the open-access article under the recorded cc by licence; © the authors. PMID 41636093 · DOI · PMC13045357

Key reviews and meta-analyses

The most cited review-type papers among PubMed’s best-match results for this heading, listed with bibliographic details only. Follow the links for the full text and access terms.

  • Research article Mouse defensive behaviors: pharmacological and behavioral assays for anxiety and panic [5]
    Blanchard DC, Griebel G, Blanchard RJ · Neurosci Biobehav Rev · 2001 · cited 315 times (Europe PMC)
  • Research article Defensive burying in rodents: ethology, neurobiology and psychopharmacology [6]
    De Boer SF, Koolhaas JM · Eur J Pharmacol · 2003 · cited 277 times (Europe PMC)
  • Research article Increased anxiogenic effects of caffeine in panic disorders [7]
    Charney DS, Heninger GR, Jatlow PI · Arch Gen Psychiatry · 1985 · cited 224 times (Europe PMC)
  • Research article A neuroanatomical hypothesis for panic disorder [8]
    Gorman JM, Liebowitz MR, Fyer AJ, Stein J · Am J Psychiatry · 1989 · cited 207 times (Europe PMC)
  • Research article Orexin, stress, and anxiety/panic states [9]
    Johnson PL, Molosh A, Fitz SD, Truitt WA, Shekhar A · Prog Brain Res · 2012 · cited 187 times (Europe PMC)
  • Research article Psychological approaches to panic disorder: a review [10]
    McNally RJ · Psychol Bull · 1990 · cited 128 times (Europe PMC)

References

  1. Leibold NK, van den Hove DL, Viechtbauer W, Buchanan GF, Goossens L, Lange I, et al.. CO2 exposure as translational cross-species experimental model for panic. . 2016. PMID 27598969 · DOI · PMC5048202
  2. Salvadore G, Bonaventure P, Shekhar A, Johnson PL, Lord B, Shireman BT, et al.. Translational evaluation of novel selective orexin-1 receptor antagonist JNJ-61393215 in an experimental model for panic in rodents and humans. . 2020. PMID 32895369 · DOI · PMC7477545
  3. Bentall RP, Lloyd A, Bennett K, McKay R, Mason L, Murphy J, et al.. Pandemic buying: Testing a psychological model of over-purchasing and panic buying using data from the United Kingdom and the Republic of Ireland during the early phase of the COVID-19 pandemic. . 2021. PMID 33503049 · DOI · PMC7840055
  4. Barcelon E, Noh K, Hwang M, Kim YJ, Lee U, Ryu YJ, et al.. Midbrain PAG Astrocytes Modulate Mouse Defensive and Panic-Like Behaviors. . 2026. PMID 41636093 · DOI · PMC13045357
  5. Blanchard DC, Griebel G, Blanchard RJ. Mouse defensive behaviors: pharmacological and behavioral assays for anxiety and panic. Neurosci Biobehav Rev. 2001. PMID 11378177 · DOI
  6. De Boer SF, Koolhaas JM. Defensive burying in rodents: ethology, neurobiology and psychopharmacology. Eur J Pharmacol. 2003. PMID 12600707 · DOI
  7. Charney DS, Heninger GR, Jatlow PI. Increased anxiogenic effects of caffeine in panic disorders. Arch Gen Psychiatry. 1985. PMID 2983630 · DOI
  8. Gorman JM, Liebowitz MR, Fyer AJ, Stein J. A neuroanatomical hypothesis for panic disorder. Am J Psychiatry. 1989. PMID 2643361 · DOI
  9. Johnson PL, Molosh A, Fitz SD, Truitt WA, Shekhar A. Orexin, stress, and anxiety/panic states. Prog Brain Res. 2012. PMID 22813973 · DOI · PMC3665356
  10. McNally RJ. Psychological approaches to panic disorder: a review. Psychol Bull. 1990. PMID 2270235 · DOI

About this article

Sources
NLM Medical Subject Headings (definition, synonyms); NCBI PubMed (counts, identifiers); Europe PMC (open-access abstracts and citation counts).
Verification
Every reference was resolved against PubMed on 2026-11-04; title, year and DOI matched.
Review state
automated source verified; no human expert review has been recorded yet.
Version
1, last updated 2026-11-04.

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At a glance

2,737
PubMed records on this heading
5%
published since 2020
312
review articles
192
randomized trials
10
verified references below

Counts come from PubMed on 2026-10-31; they show how much has been written, not how strong the evidence is.

Related topics See all →

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  • Panic DisorderPsychiatry and Psychology
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  • AffectPsychiatry and Psychology
  • AggressionPsychiatry and Psychology

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