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Self Medication

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

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

The self administration of medication not prescribed by a physician or in a manner not directed by a physician.

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 (1,015 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

The self administration of medication not prescribed by a physician or in a manner not directed by a physician.

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: Medication, Self; Medications, Self; Self Medications.

Where it fits in the MeSH classification

Broader topics
Drug Therapy; Self Care

Research landscape

PubMed indexes 5,204 records tagged with the MeSH heading “Self Medication” (counts retrieved 2026-10-29). 486 of them (9.3%) were published from 2020 onward, and the busiest period so far is through 1999 with 2,128 records.

Reviews account for 479 records (9.2%) and meta-analyses for 26. Randomized controlled trials number 69 (1.3%) as a share of all records on the topic. Randomized trials make up only a small share of this literature, so much of what is known comes from laboratory, observational or descriptive work.

PubMed records by publication periodthrough 1999: 2,128 records; 2000-2009: 1,250 records; 2010-2019: 1,340 records; 2020 onward: 486 records2,128through 19991,2502000-20091,3402010-20194862020 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 19992,128
2000-20091,250
2010-20191,340
2020 onward486
Share of records by publication typeReviews: 9.2 percent; Meta-analyses: 0.5 percent; Randomized controlled trials: 1.3 percentReviews9.2% (479)Meta-analyses0.5% (26)Randomized controlled trials1.3% (69)
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 5,204 PubMed records
TypeRecordsShare
Reviews4799.2%
Meta-analyses260.5%
Randomized controlled trials691.3%

Method: PubMed query "Self Medication"[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
Patterns and predictors of self-medication in northern Uganda
Ocan M, Bwanga F, Bbosa GS, Bagenda D, Waako P, Ogwal-Okeng J, et al.
2014Research article
Design not recorded in structured metadata
115cc by
PMID 24658124 · DOI · PMC3962384
Inappropriate Use of Antibiotics and Its Associated Factors among Urban and Rural Communities of Bahir Dar City Administration, Northwest Ethiopia
Gebeyehu E, Bantie L, Azage M
2015Research article
Design not recorded in structured metadata
114cc by
PMID 26379031 · DOI · PMC4574735
Polypharmacy among anabolic-androgenic steroid users: a descriptive metasynthesis
Sagoe D, McVeigh J, Bjørnebekk A, Essilfie MS, Andreassen CS, Pallesen S
2015Systematic review
Design not recorded in structured metadata
97cc by
PMID 25888931 · DOI · PMC4377045
Polypharmacy and self-medication among older adults in Indian urban communities-a cross-sectional study
Das S, Gnanavel P, Smanla S, Saikia AM, Mishra S, Khare S, et al.
2025Research article
Design not recorded in structured metadata
9cc by
PMID 39900582 · DOI · PMC11791031

Patterns and predictors of self-medication in northern Uganda [1]

Research article Ocan M, Bwanga F, Bbosa GS, Bagenda D, Waako P, Ogwal-Okeng J, et al. · · 2014 · cited 115 times (Europe PMC)

Abstract reading summary — source excerpts
Opening excerpt
Self-medication with antimicrobial agents is a common form of self-care among patients globally with the prevalence and nature differing from country to country.
Closing excerpt
Despite knowledge of associated risks, use of self-medication with antimicrobial drugs in management of disease symptoms is a common practice in post-conflict northern Uganda.
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 (291 words)

Self-medication with antimicrobial agents is a common form of self-care among patients globally with the prevalence and nature differing from country to country. Here we assessed the prevalence and predictors of antimicrobial self-medication in post-conflict northern Uganda. A cross-sectional study was carried out using structured interviews on 892 adult (≥18 years) participants. Information on drug name, prescriber, source, cost, quantity of drug obtained, and drug use was collected. Households were randomly selected using multistage cluster sampling method. One respondent who reported having an illness within three months in each household was recruited. In each household, information was obtained from only one adult individual. Data was analyzed using STATA at 95% level of significance. The study found that a high proportion (75.7%) of the respondents practiced antimicrobial self-medication. Fever, headache, lack of appetite and body weakness were the disease symptoms most treated through self-medication (30.3%). The commonly self-medicated antimicrobials were coartem (27.3%), amoxicillin (21.7%), metronidazole (12.3%), and cotrimoxazole (11.6%). Drug use among respondents was mainly initiated by self-prescription (46.5%) and drug shop attendants (57.6%). On average, participants obtained 13.9±8.8 (95%CI: 12.6-13.8) tablets/capsules of antimicrobial drugs from drug shops and drugs were used for an average of 3.7±2.8 days (95%CI: 3.3-3.5). Over half (68.2%) of the respondents would recommend self-medication to another sick person. A high proportion (76%) of respondents reported that antimicrobial self-medication had associated risks such as wastage of money (42.1%), drug resistance (33.2%), and masking symptoms of underlying disease (15.5%). Predictors of self-medication with antimicrobial agents included gender, drug knowledge, drug leaflets, advice from friends, previous experience, long waiting time, and distance to the health facility. Despite knowledge of associated risks, use of self-medication with antimicrobial drugs in management of disease symptoms is a common practice in post-conflict northern Uganda.

Abstract reproduced from the open-access article under the recorded cc by licence; © the authors. PMID 24658124 · DOI · PMC3962384

Inappropriate Use of Antibiotics and Its Associated Factors among Urban and Rural Communities of Bahir Dar City Administration, Northwest Ethiopia [2]

Research article Gebeyehu E, Bantie L, Azage M · · 2015 · cited 114 times (Europe PMC)

Abstract reading summary — source excerpts
Opening excerpt
BackgroundInappropriate use of antibiotics in the community plays a role in the emergence and spread of bacteria resistant to antibiotics which threatens human health significantly.
Closing excerpt
Interventions that consider age groups, educational status, common health problems and their jobs together with improvement of health care services should be areas of focus to reduce inappropriate use of antibiotics.
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 (287 words)

BackgroundInappropriate use of antibiotics in the community plays a role in the emergence and spread of bacteria resistant to antibiotics which threatens human health significantly. The present study was designed to determine inappropriate use of antibiotics and its associated factors among urban and rural communities of Bahir Dar city administration.MethodsA comparative cross sectional study design was conducted in urban and rural kebeles of Bahir Dar city administration from February 1 to March 28, 2014. A total of 1082 participants included in the study using a systematic random sampling technique. Data was collected using pre-tested and structured questionnaire. Data was coded and entered into SPSSS version 16 for statistical analysis. Bivariate and multivariate logistic regression model were used to identify factors associated with inappropriate use of antibiotics.ResultsInappropriate use of antibiotics was 30.9% without significant difference between urban (33.1%) and rural (29.2%) communities. From the inappropriate antibiotic use practice, self-medication was 18.0% and the remaining (12.9%) was for family member medication. Respiratory tract symptoms (74.6%), diarrhea (74.4%), and physical injury/wound (64.3%) were the three main reasons that the communities had used antibiotics inappropriately. Factors associated with inappropriate use of antibiotics were low educational status, younger age, unsatisfaction with the health care services, engagement with a job, and low knowledge on the use of antibiotic preparations of human to animals.ConclusionsInappropriate use of antibiotic exists in the study area with no significant difference between urban and rural communities. The study indicated an insight on what factors that intervention should be made to reduce inappropriate use of antibiotics in the community. Interventions that consider age groups, educational status, common health problems and their jobs together with improvement of health care services should be areas of focus to reduce inappropriate use of antibiotics.

Abstract reproduced from the open-access article under the recorded cc by licence; © the authors. PMID 26379031 · DOI · PMC4574735

Polypharmacy among anabolic-androgenic steroid users: a descriptive metasynthesis [3]

Systematic review Sagoe D, McVeigh J, Bjørnebekk A, Essilfie MS, Andreassen CS, Pallesen S · · 2015 · cited 97 times (Europe PMC)

Abstract reading summary — source excerpts
Opening excerpt
BackgroundAs far as we are aware, no previous systematic review and synthesis of the qualitative/descriptive literature on polypharmacy in anabolic-androgenic steroid(s) (AAS) users has been published.
Closing excerpt
Efforts must be intensified to combat the debilitating effects of AAS-associated polypharmacy.
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 (236 words)

BackgroundAs far as we are aware, no previous systematic review and synthesis of the qualitative/descriptive literature on polypharmacy in anabolic-androgenic steroid(s) (AAS) users has been published.MethodWe systematically reviewed and synthesized qualitative/descriptive literature gathered from searches in electronic databases and by inspecting reference lists of relevant literature to investigate AAS users' polypharmacy. We adhered to the recommendations of the UK Economic and Social Research Council's qualitative research synthesis manual and the PRISMA guidelines.ResultsA total of 50 studies published between 1985 and 2014 were included in the analysis. Studies originated from 10 countries although most originated from United States (n=22), followed by Sweden (n=7), England only (n=5), and the United Kingdom (n=4). It was evident that prior to their debut, AAS users often used other licit and illicit substances. The main ancillary/supplementary substances used were alcohol, and cannabis/cannabinoids followed by cocaine, growth hormone, and human chorionic gonadotropin (hCG), amphetamine/meth, clenbuterol, ephedra/ephedrine, insulin, and thyroxine. Other popular substance classes were analgesics/opioids, dietary/nutritional supplements, and diuretics. Our classification of the various substances used by AAS users resulted in 13 main groups. These non-AAS substances were used mainly to enhance the effects of AAS, combat the side effects of AAS, and for recreational or relaxation purposes, as well as sexual enhancement.ConclusionsOur findings corroborate previous suggestions of associations between AAS use and the use of other licit and illicit substances. Efforts must be intensified to combat the debilitating effects of AAS-associated polypharmacy.

Abstract reproduced from the open-access article under the recorded cc by licence; © the authors. PMID 25888931 · DOI · PMC4377045

Polypharmacy and self-medication among older adults in Indian urban communities-a cross-sectional study [4]

Research article Das S, Gnanavel P, Smanla S, Saikia AM, Mishra S, Khare S, et al. · · 2025 · cited 9 times (Europe PMC)

Abstract reading summary — source excerpts
Opening excerpt
Older adults are vulnerable to unsafe medication practices.
Closing excerpt
The findings emphasize interventions' necessity for promoting safe medication use in older adults.
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 (201 words)

Older adults are vulnerable to unsafe medication practices. This cross-sectional study estimated the prevalence and factors of polypharmacy and self-medication among 600 older adults from six Indian cities. The updated Screening Tool of Older Persons' Prescriptions and Screening Tool to Alert to Right Treatment criteria (version 3) were used. Knowledge, attitudes, and reported practices regarding self-medication were assessed. Descriptive statistics, binary logistic regression, and multivariable analysis were used. The prevalence of polypharmacy was 33.7% (95% CI 29.9-37.6%), with significant associations to multiple comorbidities [adjusted odds ratio (aOR) 2.5 (95% CI 1.1-4.1)], recent transition of care [aOR 3.3 (95% CI 1.4-5.7)], and recent hospitalization [aOR 4.6 (95% CI 2-7.7)]. The proportions of prescriptions with potentially inappropriate medications and potential prescribing omissions were 28.8% (95% CI 25.2-32.6%) and 20.3% (95% CI 17.2-23.8%), respectively. The prevalence of self-medication was 19.7% (95% CI 16.6-23.1%), associated with factors, such as staying alone [aOR 4.5 (95% CI 2.4-6.6)], multiple comorbidities [aOR 3 (95% CI 1.4-6.7)], and recent hospitalization [aOR 4.8 (95% CI 1.5-8)]. Among those who self-medicated, 65.3% lacked knowledge of self-medication, 50% did not comprehend the risks, and 40.7% reported unsafe self-medication practices. The findings emphasize interventions' necessity for promoting safe medication use in older adults.

Abstract reproduced from the open-access article under the recorded cc by licence; © the authors. PMID 39900582 · DOI · PMC11791031

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 The self-medication hypothesis of substance use disorders: a reconsideration and recent applications [5]
    Khantzian EJ · Harv Rev Psychiatry · 1997 · cited 1,870 times (Europe PMC)
  • Research article The self-medication hypothesis of addictive disorders: focus on heroin and cocaine dependence [6]
    Khantzian EJ · Am J Psychiatry · 1985 · cited 1,281 times (Europe PMC)
  • Research article Explicit criteria for determining potentially inappropriate medication use by the elderly. An update [7]
    Beers MH · Arch Intern Med · 1997 · cited 918 times (Europe PMC)
  • Research article Nicotine use in schizophrenia: the self medication hypotheses [8]
    Kumari V, Postma P · Neurosci Biobehav Rev · 2005 · cited 330 times (Europe PMC)
  • Research article Household antimicrobial self-medication: a systematic review and meta-analysis of the burden, risk factors and outcomes in developing countries [9]
    Ocan M, Obuku EA, Bwanga F, Akena D, Richard S, Ogwal-Okeng J, et al. · BMC Public Health · 2015 · cited 309 times (Europe PMC)
  • Research article Self-medication with alcohol or drugs for mood and anxiety disorders: A narrative review of the epidemiological literature [10]
    Turner S, Mota N, Bolton J, Sareen J · Depress Anxiety · 2018 · cited 306 times (Europe PMC)

References

  1. Ocan M, Bwanga F, Bbosa GS, Bagenda D, Waako P, Ogwal-Okeng J, et al.. Patterns and predictors of self-medication in northern Uganda. . 2014. PMID 24658124 · DOI · PMC3962384
  2. Gebeyehu E, Bantie L, Azage M. Inappropriate Use of Antibiotics and Its Associated Factors among Urban and Rural Communities of Bahir Dar City Administration, Northwest Ethiopia. . 2015. PMID 26379031 · DOI · PMC4574735
  3. Sagoe D, McVeigh J, Bjørnebekk A, Essilfie MS, Andreassen CS, Pallesen S. Polypharmacy among anabolic-androgenic steroid users: a descriptive metasynthesis. . 2015. PMID 25888931 · DOI · PMC4377045
  4. Das S, Gnanavel P, Smanla S, Saikia AM, Mishra S, Khare S, et al.. Polypharmacy and self-medication among older adults in Indian urban communities-a cross-sectional study. . 2025. PMID 39900582 · DOI · PMC11791031
  5. Khantzian EJ. The self-medication hypothesis of substance use disorders: a reconsideration and recent applications. Harv Rev Psychiatry. 1997. PMID 9385000 · DOI
  6. Khantzian EJ. The self-medication hypothesis of addictive disorders: focus on heroin and cocaine dependence. Am J Psychiatry. 1985. PMID 3904487 · DOI
  7. Beers MH. Explicit criteria for determining potentially inappropriate medication use by the elderly. An update. Arch Intern Med. 1997. PMID 9236554 · DOI
  8. Kumari V, Postma P. Nicotine use in schizophrenia: the self medication hypotheses. Neurosci Biobehav Rev. 2005. PMID 15964073 · DOI
  9. Ocan M, Obuku EA, Bwanga F, Akena D, Richard S, Ogwal-Okeng J, et al.. Household antimicrobial self-medication: a systematic review and meta-analysis of the burden, risk factors and outcomes in developing countries. BMC Public Health. 2015. PMID 26231758 · DOI · PMC4522083
  10. Turner S, Mota N, Bolton J, Sareen J. Self-medication with alcohol or drugs for mood and anxiety disorders: A narrative review of the epidemiological literature. Depress Anxiety. 2018. PMID 29999576 · DOI · PMC6175215

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

  • Medication ReconciliationPharmacology
  • PremedicationPharmacology
  • Self ToleranceImmunology
  • Medication ErrorsPharmacology
  • Antipsychotic AgentsPharmacology
  • Clonal AnergyImmunology

All 99 articles in Pharmacology →

At a glance

5,204
PubMed records on this heading
9%
published since 2020
479
review articles
69
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 →

  • Medication ReconciliationPharmacology
  • PremedicationPharmacology
  • Self ToleranceImmunology
  • Medication ErrorsPharmacology
  • Antipsychotic AgentsPharmacology

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