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Drug Repurposing Hypothesis Generation Using the "RE:fine Drugs" System
Published on: December 11, 2016
Need for NAMs: A systematic evidence synthesis revealing over half a century of drug development failure
Dilyana Filipova1,2, Wolfgang Boomgaarden3, Leyla Fox1
1Doctors Against Animal Experiments (DAAE), Lustheide 85, 51427, Bergisch Gladbach, Germany.
Background:
Preclinical assessment of drug safety, efficacy and pharmacokinetics still relies largely on animal‑derived data, despite their limited ability to predict human outcomes. New Approach Methodologies (NAMs) are emerging as more human‑relevant preclinical tools. This systematic evidence synthesis examines (1) current levels and temporal trends in clinical drug attrition and (2) the proportion of failures attributed to biological factors such as safety, efficacy and pharmacokinetics that are routinely evaluated during preclinical testing, to identify priority areas for NAM implementation.
Methods And Findings:
We systematically searched PubMed on March 5, 2024, for peer-reviewed, English-language studies since 1963 reporting numerical primary data on clinical drug attrition rates and/or reasons for failure. The protocol was prospectively registered (osf.io/46mw5). We excluded non-original research and studies on specific cases, diseases, or single drug classes. Thirty-two publications met the criteria, yielding 60 attrition and 36 failure-reason datasets (1963-2017). Across six decades, mean clinical attrition ranged from ∼80 to ∼91 % with the highest rates within the past two decades. Overall, biological factors (safety, efficacy, pharmacokinetics) accounted for ∼77% of reported causes. Limitations include heterogeneous reporting, restriction to English, and exclusion of grey literature.
Conclusions:
Clinical drug attrition has not improved in the last six decades, peaking at ∼91% in the 2000s-2010s, with most failures linked to biological factors. These findings suggest that prevailing preclinical approaches - many of which heavily rely on animal models - often have limited ability to predict clinical outcomes and highlight the urgent need for more predictive, human-relevant NAMs.
Insights
Drug development clinical attrition rates remain high (around 91%), with most failures due to biological factors. This highlights the need for New Approach Methodologies (NAMs) to improve preclinical predictions.
Area of Science:
- Drug Discovery and Development
- Preclinical Research
- Toxicology and Pharmacology
Background:
- Current preclinical drug assessment heavily relies on animal models, which have limited predictive value for human outcomes.
- New Approach Methodologies (NAMs) offer more human-relevant alternatives for preclinical drug evaluation.
- Understanding drug attrition drivers is crucial for prioritizing NAM implementation.
Purpose of the Study:
- To systematically analyze clinical drug attrition rates and their temporal trends.
- To determine the proportion of drug failures attributed to biological factors (safety, efficacy, pharmacokinetics).
- To identify key areas for implementing New Approach Methodologies (NAMs).
Main Methods:
- Systematic literature search of PubMed for studies reporting clinical drug attrition data since 1963.
- Inclusion of peer-reviewed, English-language original research with numerical data on attrition rates or failure reasons.
- Analysis of 32 publications, yielding 60 attrition and 36 failure-reason datasets from 1963-2017.
Main Results:
- Clinical drug attrition rates have remained high, ranging from approximately 80% to 91% over six decades.
- Attrition rates peaked in the past two decades (2000s-2010s).
- Biological factors (safety, efficacy, pharmacokinetics) accounted for about 77% of reported drug failure causes.
Conclusions:
- Clinical drug attrition has not improved over the last six decades, indicating persistent challenges in drug development.
- The high failure rate linked to biological factors underscores the limitations of current preclinical methods, particularly animal models.
- There is an urgent need to adopt more predictive, human-relevant New Approach Methodologies (NAMs) in preclinical drug assessment.
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