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Drug Tolerance

Pharmacology · NLM MeSH · updated 2026-10-29 · version 1

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

Progressive diminution of the susceptibility of a human or animal to the effects of a drug, resulting from its continued administration.

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 (879 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

Progressive diminution of the susceptibility of a human or animal to the effects of a drug, resulting from its continued administration. It should be differentiated from drug resistance wherein an organism, disease, or tissue fails to respond to the intended effectiveness of a chemical or drug. It should also be differentiated from maximum tolerated dose and no-observed-adverse-effect level.

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: Drug Tolerances; Tolerance, Drug; Tolerances, Drug.

Where it fits in the MeSH classification

Broader topics
Pharmacological Phenomena
Narrower topics
Tachyphylaxis

Related concepts

  • Drug Resistance
  • Maximum Tolerated Dose
  • No-Observed-Adverse-Effect Level

Research landscape

PubMed indexes 23,092 records tagged with the MeSH heading “Drug Tolerance” (counts retrieved 2026-10-29). 799 of them (3.5%) were published from 2020 onward, and the busiest period so far is through 1999 with 15,543 records.

Reviews account for 2,525 records (10.9%) and meta-analyses for 43. Randomized controlled trials number 1,578 (6.8%) as a share of all records on the topic.

PubMed records by publication periodthrough 1999: 15,543 records; 2000-2009: 3,829 records; 2010-2019: 2,921 records; 2020 onward: 799 records15,543through 19993,8292000-20092,9212010-20197992020 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 199915,543
2000-20093,829
2010-20192,921
2020 onward799
Share of records by publication typeReviews: 10.9 percent; Meta-analyses: 0.2 percent; Randomized controlled trials: 6.8 percentReviews10.9% (2,525)Meta-analyses0.2% (43)Randomized controlled trials6.8% (1,578)
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 23,092 PubMed records
TypeRecordsShare
Reviews2,52510.9%
Meta-analyses430.2%
Randomized controlled trials1,5786.8%

Method: PubMed query "Drug Tolerance"[MeSH Terms] with publication-type and date filters, retrieved 2026-10-29.

Reading the evidence in pharmacology

Drug evidence builds in layers: laboratory pharmacology describes how a compound acts, pharmacokinetic studies describe how the body handles it, and randomized trials test whether it helps and what harms it causes. Post-marketing surveillance and observational studies reveal rarer adverse effects but cannot prove causation. This page is educational and is not a recommendation to start, stop or change any medicine; decisions about treatment belong with a qualified clinician.

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
Definitions and guidelines for research on antibiotic persistence
Balaban NQ, Helaine S, Lewis K, Ackermann M, Aldridge B, Andersson DI, et al.
2019Review article
Design not recorded in structured metadata
1,043cc by
PMID 30980069 · DOI · PMC7136161
Commensal Protection of Staphylococcus aureus against Antimicrobials by Candida albicans Biofilm Matrix
Kong EF, Tsui C, Kucharíková S, Andes D, Van Dijck P, Jabra-Rizk MA
2016Research article
Design not recorded in structured metadata
235cc by
PMID 27729510 · DOI · PMC5061872
Single-cell transcriptional changes associated with drug tolerance and response to combination therapies in cancer
Aissa AF, Islam ABMMK, Ariss MM, Go CC, Rader AE, Conrardy RD, et al.
2021Research article
Design not recorded in structured metadata
229cc by
PMID 33712615 · DOI · PMC7955121
Morphine Tolerance Gated through EZH2-Mediated Suppression of Trpc5 in Spinal GABAergic Interneurons in Male Mice
Wan L, Zhang M, Guo H, Xu Y, Xu C, Hu F, et al.
2026Research article
Design not recorded in structured metadata
2cc by
PMID 41111460 · DOI · PMC12766986

Definitions and guidelines for research on antibiotic persistence [1]

Review article Balaban NQ, Helaine S, Lewis K, Ackermann M, Aldridge B, Andersson DI, et al. · · 2019 · cited 1,043 times (Europe PMC)

Abstract reading summary — source excerpts
Opening excerpt
Increasing concerns about the rising rates of antibiotic therapy failure and advances in single-cell analyses have inspired a surge of research into antibiotic persistence.
Closing excerpt
Therefore, it is our hope that the guidelines outlined in this article will pave the way for better characterization of antibiotic persistence and for understanding its relevance to clinical outcomes.
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 (163 words)

Increasing concerns about the rising rates of antibiotic therapy failure and advances in single-cell analyses have inspired a surge of research into antibiotic persistence. Bacterial persister cells represent a subpopulation of cells that can survive intensive antibiotic treatment without being resistant. Several approaches have emerged to define and measure persistence, and it is now time to agree on the basic definition of persistence and its relation to the other mechanisms by which bacteria survive exposure to bactericidal antibiotic treatments, such as antibiotic resistance, heteroresistance or tolerance. In this Consensus Statement, we provide definitions of persistence phenomena, distinguish between triggered and spontaneous persistence and provide a guide to measuring persistence. Antibiotic persistence is not only an interesting example of non-genetic single-cell heterogeneity, it may also have a role in the failure of antibiotic treatments. Therefore, it is our hope that the guidelines outlined in this article will pave the way for better characterization of antibiotic persistence and for understanding its relevance to clinical outcomes.

Abstract reproduced from the open-access article under the recorded cc by licence; © the authors. PMID 30980069 · DOI · PMC7136161

Commensal Protection of Staphylococcus aureus against Antimicrobials by Candida albicans Biofilm Matrix [2]

Research article Kong EF, Tsui C, Kucharíková S, Andes D, Van Dijck P, Jabra-Rizk MA · · 2016 · cited 235 times (Europe PMC)

Abstract reading summary — source excerpts
Opening excerpt
Biofilm-associated polymicrobial infections, particularly those involving fungi and bacteria, are responsible for significant morbidity and mortality and tend to be challenging to treat.
Closing excerpt
Understanding the therapeutic implications of the interactions between these two diverse microbial species will aid in overcoming the limitations of current therapies and in defining new targets for treating complex polymicrobial infections.
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 (362 words)

Biofilm-associated polymicrobial infections, particularly those involving fungi and bacteria, are responsible for significant morbidity and mortality and tend to be challenging to treat. Candida albicans and Staphylococcus aureus specifically are considered leading opportunistic fungal and bacterial pathogens, respectively, mainly due to their ability to form biofilms on catheters and indwelling medical devices. However, the impact of mixed-species biofilm growth on therapy remains largely understudied. In this study, we investigated the influence of C. albicans secreted cell wall polysaccharides on the response of S. aureus to antibacterial agents in biofilm. Results demonstrated significantly enhanced tolerance for S. aureus to drugs in the presence of C. albicans or its secreted cell wall polysaccharide material. Fluorescence confocal time-lapse microscopy revealed impairment of drug diffusion through the mixed biofilm matrix. Using C. albicans mutant strains with modulated cell wall polysaccharide expression, exogenous supplementation, and enzymatic degradation, the C. albicans-secreted β-1,3-glucan cell wall component was identified as the key matrix constituent providing the bacteria with enhanced drug tolerance. Further, antibody labeling demonstrated rapid coating of the bacteria by the C. albicans matrix material. Importantly, via its effect on the fungal biofilm matrix, the antifungal caspofungin sensitized the bacteria to the drugs. Understanding such symbiotic interactions with clinical relevance between microbial species in biofilms will greatly aid in overcoming the limitations of current therapies and in defining potential new targets for treating polymicrobial infections.ImportanceThe fungus Candida albicans and the bacterium Staphylococcus aureus are important microbial pathogens responsible for the majority of infections in hospitalized patients and are often coisolated from a host. In this study, we demonstrated that when grown together, the fungus provides the bacterium with enhanced tolerance to antimicrobial drugs. This process was mediated by polysaccharides secreted by the fungal cell into the environment. The biofilm matrix formed by these polysaccharides prevented penetration by the drugs and provided the bacteria with protection. Importantly, we show that by inhibiting the production of the fungal polysaccharides, a specific antifungal agent indirectly sensitized the bacteria to antimicrobials. Understanding the therapeutic implications of the interactions between these two diverse microbial species will aid in overcoming the limitations of current therapies and in defining new targets for treating complex polymicrobial infections.

Abstract reproduced from the open-access article under the recorded cc by licence; © the authors. PMID 27729510 · DOI · PMC5061872

Single-cell transcriptional changes associated with drug tolerance and response to combination therapies in cancer [3]

Research article Aissa AF, Islam ABMMK, Ariss MM, Go CC, Rader AE, Conrardy RD, et al. · · 2021 · cited 229 times (Europe PMC)

Abstract reading summary — source excerpts
Opening excerpt
Tyrosine kinase inhibitors were found to be clinically effective for treatment of patients with certain subsets of cancers carrying somatic mutations in receptor tyrosine kinases.
Closing excerpt
In this study, we describe the spectrum of changes associated with drug tolerance and inhibition of specific tolerant cell subpopulations with combination agents.
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 (167 words)

Tyrosine kinase inhibitors were found to be clinically effective for treatment of patients with certain subsets of cancers carrying somatic mutations in receptor tyrosine kinases. However, the duration of clinical response is often limited, and patients ultimately develop drug resistance. Here, we use single-cell RNA sequencing to demonstrate the existence of multiple cancer cell subpopulations within cell lines, xenograft tumors and patient tumors. These subpopulations exhibit epigenetic changes and differential therapeutic sensitivity. Recurrently overrepresented ontologies in genes that are differentially expressed between drug tolerant cell populations and drug sensitive cells include epithelial-to-mesenchymal transition, epithelium development, vesicle mediated transport, drug metabolism and cholesterol homeostasis. We show analysis of identified markers using the LINCS database to predict and functionally validate small molecules that target selected drug tolerant cell populations. In combination with EGFR inhibitors, crizotinib inhibits the emergence of a defined subset of EGFR inhibitor-tolerant clones. In this study, we describe the spectrum of changes associated with drug tolerance and inhibition of specific tolerant cell subpopulations with combination agents.

Abstract reproduced from the open-access article under the recorded cc by licence; © the authors. PMID 33712615 · DOI · PMC7955121

Morphine Tolerance Gated through EZH2-Mediated Suppression of Trpc5 in Spinal GABAergic Interneurons in Male Mice [4]

Research article Wan L, Zhang M, Guo H, Xu Y, Xu C, Hu F, et al. · · 2026 · cited 2 times (Europe PMC)

Abstract reading summary — source excerpts
Opening excerpt
A major unresolved issue in managing severe pain is tolerance caused by repeated treatment of opioid analgesics.
Closing excerpt
Thus, it is proposed that the clinical translation of these findings may help reduce the suffering of individuals with intractable pain.
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 (187 words)

A major unresolved issue in managing severe pain is tolerance caused by repeated treatment of opioid analgesics. Here, it is demonstrated that tolerance-inducing treatment with morphine results in the persistent downregulation of transient receptor potential canonical 5 (TRPC5), impairing the Ca2+ homeostasis in GABAergic interneurons of the spinal dorsal horn (SDH) and consequently reducing GABA release. Spinal activation of TRPC5 by riluzole (RLZ) or lentiviral-mediated TRPC5 overexpression in GABAergic interneurons produces a long-lasting enhancement of morphine's analgesic effect. In contrast, pharmacological inhibition of TRPC5 and mice lacking TRPC5 accelerates the development of morphine tolerance. Mechanistically, it is found that transcriptional suppression of Trpc5 results from enhancer of zeste homolog 2 (EZH2)-mediated epigenetic modifications at the Trpc5 gene promoter. Morphine decreases the enrichment of RNA polymerase II at the Trpc5 promoter. Moreover, exposure to morphine increases EZH2 binding to the Trpc5 promoter, leading to the enrichment of histone H3 lysine-27 trimethylation (H3K27me3). Pharmacological blockade of EZH2 by EPZ6438 or genetic silencing in GABAergic interneurons reverses morphine tolerance. Thus, it is proposed that the clinical translation of these findings may help reduce the suffering of individuals with intractable pain.

Abstract reproduced from the open-access article under the recorded cc by licence; © the authors. PMID 41111460 · DOI · PMC12766986

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 Distinguishing between resistance, tolerance and persistence to antibiotic treatment [5]
    Brauner A, Fridman O, Gefen O, Balaban NQ · Nat Rev Microbiol · 2016 · cited 1,223 times (Europe PMC)
  • Research article Surviving as a Community: Antibiotic Tolerance and Persistence in Bacterial Biofilms [6]
    Yan J, Bassler BL · Cell Host Microbe · 2019 · cited 570 times (Europe PMC)
  • Research article Biofilm-specific antibiotic tolerance and resistance [7]
    Olsen I · Eur J Clin Microbiol Infect Dis · 2015 · cited 526 times (Europe PMC)
  • Research article Desensitization of neuronal nicotinic receptors [8]
    Quick MW, Lester RA · J Neurobiol · 2002 · cited 372 times (Europe PMC)
  • Research article Molecular mechanisms of endotoxin tolerance [9]
    Fan H, Cook JA · J Endotoxin Res · 2004 · cited 323 times (Europe PMC)
  • Research article Formation, physiology, ecology, evolution and clinical importance of bacterial persisters [10]
    Van den Bergh B, Fauvart M, Michiels J · FEMS Microbiol Rev · 2017 · cited 308 times (Europe PMC)

References

  1. Balaban NQ, Helaine S, Lewis K, Ackermann M, Aldridge B, Andersson DI, et al.. Definitions and guidelines for research on antibiotic persistence. . 2019. PMID 30980069 · DOI · PMC7136161
  2. Kong EF, Tsui C, Kucharíková S, Andes D, Van Dijck P, Jabra-Rizk MA. Commensal Protection of Staphylococcus aureus against Antimicrobials by Candida albicans Biofilm Matrix. . 2016. PMID 27729510 · DOI · PMC5061872
  3. Aissa AF, Islam ABMMK, Ariss MM, Go CC, Rader AE, Conrardy RD, et al.. Single-cell transcriptional changes associated with drug tolerance and response to combination therapies in cancer. . 2021. PMID 33712615 · DOI · PMC7955121
  4. Wan L, Zhang M, Guo H, Xu Y, Xu C, Hu F, et al.. Morphine Tolerance Gated through EZH2-Mediated Suppression of Trpc5 in Spinal GABAergic Interneurons in Male Mice. . 2026. PMID 41111460 · DOI · PMC12766986
  5. Brauner A, Fridman O, Gefen O, Balaban NQ. Distinguishing between resistance, tolerance and persistence to antibiotic treatment. Nat Rev Microbiol. 2016. PMID 27080241 · DOI
  6. Yan J, Bassler BL. Surviving as a Community: Antibiotic Tolerance and Persistence in Bacterial Biofilms. Cell Host Microbe. 2019. PMID 31295420 · DOI · PMC6629468
  7. Olsen I. Biofilm-specific antibiotic tolerance and resistance. Eur J Clin Microbiol Infect Dis. 2015. PMID 25630538 · DOI
  8. Quick MW, Lester RA. Desensitization of neuronal nicotinic receptors. J Neurobiol. 2002. PMID 12436413 · DOI
  9. Fan H, Cook JA. Molecular mechanisms of endotoxin tolerance. J Endotoxin Res. 2004. PMID 15119998 · DOI
  10. Van den Bergh B, Fauvart M, Michiels J. Formation, physiology, ecology, evolution and clinical importance of bacterial persisters. FEMS Microbiol Rev. 2017. PMID 28333307 · 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 2026-10-31; title, year and DOI matched.
Review state
automated source verified; no human expert review has been recorded yet.
Version
1, last updated 2026-10-29.

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Related research topics

  • Drug ResistancePharmacology
  • Drug InteractionsPharmacology
  • Insulin ResistancePharmacology
  • HormesisPharmacology
  • Down-RegulationPharmacology
  • Quantitative Structure-Activity RelationshipPharmacology

All 99 articles in Pharmacology →

At a glance

23,092
PubMed records on this heading
3%
published since 2020
2,525
review articles
1,578
randomized trials
10
verified references below

Counts come from PubMed on 2026-10-29; they show how much has been written, not how strong the evidence is.

Related topics See all →

  • Drug ResistancePharmacology
  • Drug InteractionsPharmacology
  • Insulin ResistancePharmacology
  • HormesisPharmacology
  • Down-RegulationPharmacology

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