Evidence map›Paper›PMID 23827972›Full record

ReviewProgress in neurobiology2013

Pain and suicidality: insights from reward and addiction neuroscience.

Igor Elman, David Borsook, Nora D Volkow

Abstract readReview
In one paragraph

Review in Progress in neurobiology, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 123 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
123citing papers in PubMed, 3 pooled it
8.1field-weighted citation impact, top 2% of its field
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

123 citing papers in PubMed, 3 syntheses or guidelines pooled it, 212 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Trial
  5. Review
  6. The ENKCNS neuroscience & therapeutics · 2026
    Article
  7. Article
  8. Article
  9. Review
  10. Article
  11. Article
  12. Review: Suicide and its relationship to aggression and impulsivity.Cognitive, affective & behavioral neuroscience · 2025
    Review
  13. Article
  14. Review
  15. Article
  16. The Prevention of Suicide in Older Military Veterans.Behavioral sciences (Basel, Switzerland) · 2025
    Review
  17. Article
  18. Article
  19. Current neuropharmacology · 2025
    Article
  20. Article

63 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors at 3 institutions in 1 country.

Igor ElmanProvidence VA Medical Center and Cambridge Health Alliance, Harvard Medical School, 26 Central Street, Somerville, MA 02143, USA. Electronic address: ielman@cha.harvard.edu.
David Borsook
Nora D Volkow
Cambridge Health Alliance · USMassachusetts General Hospital · USNational Institute on Drug Abuse · US

Funding

Neurobiology of Substance Abuse and AddictionZIAAA000550 · NIAAA · NATIONAL INSTITUTE ON ALCOHOL ABUSE AND ALCOHOLISM · PI VOLKOW, NORA D. · 2009 to 2025
$115.1M
Intramural NIH HHS ZIA AA000550
6 · The paper itself

Abstract

Suicidality is exceedingly prevalent in pain patients. Although the pathophysiology of this link remains unclear, it may be potentially related to the partial congruence of physical and emotional pain systems. The latter system's role in suicide is also conspicuous during setbacks and losses sustained in the context of social attachments. Here we propose a model based on the neural pathways mediating reward and anti-reward (i.e., allostatic adjustment to recurrent activation of the reward circuitry); both are relevant etiologic factors in pain, suicide and social attachments. A comprehensive literature search on neurobiology of pain and suicidality was performed. The collected articles were critically reviewed and relevant data were extracted and summarized within four key areas: (1) physical and emotional pain, (2) emotional pain and social attachments, (3) pain- and suicide-related alterations of the reward and anti-reward circuits as compared to addiction, which is the premier probe for dysfunction of these circuits and (4) mechanistically informed treatments of co-occurring pain and suicidality. Pain-, stress- and analgesic drugs-induced opponent and proponent states of the mesolimbic dopaminergic pathways may render reward and anti-reward systems vulnerable to sensitization, cross-sensitization and aberrant learning of contents and contexts associated with suicidal acts and behaviors. These findings suggest that pain patients exhibit alterations in the brain circuits mediating reward (depressed function) and anti-reward (sensitized function) that may affect their proclivity for suicide and support pain and suicidality classification among other "reward deficiency syndromes" and a new proposal for "enhanced anti-reward syndromes". We suggest that interventions aimed at restoring the balance between the reward and anti-reward networks in patients with chronic pain may help decreasing their suicide risk.

Indexed as

RewardBehavior, AddictiveBrainHumansNerve NetNeural PathwaysPainSuicideSuicide PreventionAberrant learningACCAllostasisAMYamygdalaanterior cingulate gyrusAnti-rewardbasolateral complex of the amygdalabed nucleus the striaterminalisBLABNSTCEAcentral nucleus of the amygdalacorticotropin-releasing factorCRFCross-sensitizationDADBSdeep brain stimulationdefault-mode networkDiagnostic and Statistical Manual of Mental Disorders, 4th edition, Text RevisionDMNdopaminedorsal root ganglionDRGDSM-IV TRGABAgamma-aminobutyricacidhabenulaHabenulaHBHomeostasisHThypothalamusINSinsulaLClocus coeruleusNAcNEnorepinephrineNRnucleus accumbensPAGperiaqueductal gray matterPFCposttraumatic stress disorderprefrontal cortexprimary somatosensory cortexPTSDraphe nucleireticular formation nucleiRFS(1)S(2)secondary somatosensory cortexStressventral tegmentumVT

Identifiers

PMID23827972
PMCPMC4827340
OpenAlexW2025428154

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

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.