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Medication Ratings and Conditions Dataset

Health Information Systems & Technology

Tags and Keywords

Health

Ratings

Nlp

Drugs

Medicine

Trusted By
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Medication Ratings and Conditions Dataset Dataset on Opendatabay data marketplace

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Free

About

This dataset provides detailed information on various drugs used for a multitude of medical conditions such as acne, cancer, and heart disease. It includes essential details about drug efficacy based on user ratings and experiences, as well as specific information on side effects. The dataset aims to offer insights into how different medications are perceived by users concerning their effectiveness, considering both positive and adverse effects.

Columns

  • drug_name: The name of the drug.
  • medical_condition: The name of the medical condition the drug is used for. Examples include Pain (defined as "An unpleasant sensory and emotional experience associated with actual or potential tissue damage or described in terms of such damage") and Cold Symptoms (also known as Common Cold or Coryza, characterised by congestion of the nasal mucous membrane, watery nasal rhinorrhoea, and general malaise, with a typical duration of 3–5 days).
  • medical_condition_description: A detailed description of the medical condition.
  • activity: An indicator of recent site visitor activity relative to other medications listed, based on data gathered from drugs.com.
  • rx_otc: Indicates the drug's classification:
    • Rx: Prescription Needed.
    • OTC: Over-the-counter, meaning it can be purchased without a medical prescription.
    • Rx/OTC: Can be either prescription or over-the-counter.
  • pregnancy_category: Classifies the drug's risk to a foetus during pregnancy:
    • A: Adequate and well-controlled studies show no risk in the first trimester (and no evidence of risk later).
    • B: Animal reproduction studies show no foetal risk, but no adequate human studies exist.
    • C: Animal studies show adverse foetal effects, no adequate human studies, but potential benefits may warrant use despite risks.
    • D: Positive evidence of human foetal risk, but potential benefits may warrant use despite risks.
    • X: Studies show foetal abnormalities and human foetal risk, risks clearly outweigh potential benefits.
    • N: FDA has not classified the drug.
  • csa: Controlled Substances Act (CSA) Schedule:
    • M: Multiple schedules, depends on dosage/strength.
    • U: Schedule unknown.
    • N: Not subject to CSA.
    • 1: High abuse potential, no accepted medical use, lack of accepted safety.
    • 2: High abuse potential, accepted medical use (with severe restrictions), abuse may lead to severe dependence.
    • 3: Lower abuse potential than 1 & 2, accepted medical use, abuse may lead to moderate/low physical or high psychological dependence.
    • 4: Low abuse potential relative to 3, accepted medical use, abuse may lead to limited physical or psychological dependence.
    • 5: Low abuse potential relative to 4, accepted medical use, abuse may lead to limited physical or psychological dependence.
  • alcohol: Indicates interaction with alcohol (X = Interacts with Alcohol).
  • rating: User-assigned rating (1 = not effective, 10 = most effective), reflecting effectiveness, side effects, and ease of use. Ratings range from 0.00 to 10.00.
  • no_of_reviews: The number of reviews received for the drug. There are 2912 unique values for this column.

Distribution

The dataset is typically provided in a CSV file format. While specific total row/record counts are not explicitly stated, the presence of 2912 unique review counts and a wide range of ratings suggest a substantial number of entries. The data appears to be structured in a tabular manner.

Usage

This dataset is ideal for:
  • Analysing drug efficacy based on real-world user feedback.
  • Researching user experiences with various medications.
  • Developing applications related to health information systems.
  • Performing Natural Language Processing (NLP) on drug descriptions and reviews to extract insights.
  • Understanding the landscape of prescription (Rx) versus over-the-counter (OTC) medications.

Coverage

The dataset's coverage is global, making it relevant for a worldwide audience. It was listed on 11th June 2025. There are no specific notes on demographic scope or data availability for certain groups or years explicitly mentioned.

License

CCO

Who Can Use It

This dataset is suitable for:
  • Healthcare Professionals: To gain insights into patient experiences and drug effectiveness.
  • Researchers: For studies on pharmacology, public health, and patient outcomes.
  • Data Analysts: To identify trends and patterns in drug usage and side effects.
  • Software Developers: For building health-related applications, AI models, or recommendation systems.
  • Patients/Consumers: To inform decisions about medications based on aggregated user experiences.

Dataset Name Suggestions

  • Drug Efficacy and User Experience Data
  • Medication Ratings and Conditions Dataset
  • Pharmaceutical User Feedback Data
  • Drugs and Medical Conditions Insights
  • HealthRx User Reviews

Attributes

Listing Stats

VIEWS

2

DOWNLOADS

0

LISTED

11/06/2025

REGION

GLOBAL

Universal Data Quality Score Logo UDQSQUALITY

5 / 5

VERSION

1.0

Free