Evidence map›Paper›PMID 22511201›Full record

ReviewThe Journal of pharmacology and experimental therapeutics2012

Revisiting the isobole and related quantitative methods for assessing drug synergism.

Ronald J Tallarida

Open access · bronzeAbstract readReview
In one paragraph

Review in The Journal of pharmacology and experimental therapeutics, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 66 papers.

0numbers the graph read from it
0cells of the map it votes in
66citing papers in PubMed
10.1field-weighted citation impact, top 1% 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

66 citing papers in PubMed, 145 citations in OpenAlex.

  1. Trial
  2. Article
  3. Article
  4. Review
  5. Cannabinoid CB1 receptor and mu-opioid receptor interaction: new insights from conditional knockout mice.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2026
    Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Mixed-mechanism analgesics for mixed pain.Frontiers in medicine · 2025
    Article
  11. Article
  12. Investigation of Herb-Drug Interactions betweenAdvances in pharmacological and pharmaceutical sciences · 2024
    Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Review
  19. Article
  20. Article

6 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

1 author at 1 institution in 1 country.

Ronald J TallaridaDepartment of Pharmacology and Center for Substance Abuse Research, Temple University School of Medicine, Philadelphia, Pennsylvania 19140, USA. ronald.tallarida@temple.edu
Temple University · US

Funding

Pilot Projects Core (PPC)P30DA013429 · NIDA · TEMPLE UNIV OF THE COMMONWEALTH · PI Anjali M Rajadhyaksha · 2000 to 2026
$34.6M
NIDA NIH HHS P30 DA013429PHS HHS P30 DAO13429
6 · The paper itself

Abstract

The isobole is well established and commonly used in the quantitative study of agonist drug combinations. This article reviews the isobole, its derivation from the concept of dose equivalence, and its usefulness in providing the predicted effect of an agonist drug combination, a topic not discussed in pharmacology textbooks. This review addresses that topic and also shows that an alternate method, called "Bliss independence," is inconsistent with the isobolar approach and also has a less clear conceptual basis. In its simplest application the isobole is the familiar linear plot in cartesian coordinates with intercepts representing the individual drug potencies. It is also shown that the isobole can be nonlinear, a fact recognized by its founder (Loewe) but neglected or rejected by virtually all other users. Whether its shape is linear or nonlinear the isobole is equally useful in detecting synergism and antagonism for drug combinations, and its theoretical basis leads to calculations of the expected effect of a drug combination. Numerous applications of isoboles in preclinical testing have shown that synergism or antagonism is not only a property of the two agonist drugs; the dose ratio is also important, a fact of potential importance to the design and testing of drug combinations in clinical trials.

Indexed as

Drug SynergismAnimalsDose-Response Relationship, DrugDrug CombinationsDrug InteractionsHumansPharmaceutical PreparationsPharmacologyDrug CombinationsPharmaceutical Preparations

Identifiers

PMID22511201
PMCPMC3383036
OpenAlexW2151615887

What OpenQuestion holds

Textmetadata
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.