Cited by 101Computational Drug Discovery MethodsPharmacovigilance and Adverse Drug ReactionsBiomedical Text Mining and Ontologies

DrugCentral 2023 extends human clinical data and integrates veterinary drugs

Open access
Avram, Sorin, Wilson, Thomas B, Curpan, Ramona, Halip, Liliana, Borota, Ana, Bora, Alina, Bologa, Cristian G, Holmes, Jayme +3 more·2023·Nucleic Acids Research

Abstract

DrugCentral monitors new drug approvals and standardizes drug information. The current update contains 285 drugs (131 for human use). New additions include: (i) the integration of veterinary drugs (154 for animal use only), (ii) the addition of 66 documented off-label uses and iii) the identification of adverse drug events from pharmacovigilance data for pediatric and geriatric patients. Additional enhancements include chemical substructure searching using SMILES and ‘Target Cards’ based on UniProt accession codes. Statistics of interests include the following: (i) 60% of the covered drugs are on-market drugs with expired patent and exclusivity coverage, 17% are off-market, and 23% are on-market drugs with active patents and exclusivity coverage; (ii) 59% of the drugs are oral, 33% are parenteral and 18% topical, at the level of the active ingredients; (iii) only 3% of all drugs are for animal use only; however, 61% of the veterinary drugs are also approved for human use; (iv) dogs, cats and horses are by far the most represented target species for veterinary drugs; (v) the physicochemical property profile of animal drugs is very similar to that of human drugs. Use cases include azaperone, the only sedative approved for swine, and ruxolitinib, a Janus kinase inhibitor.

AI snapshot

Written from the paper’s full text.

TL;DR

DrugCentral 2023 is a database update that adds 285 drugs (131 human-only, 154 veterinary-only), integrates veterinary drugs, 66 documented off-label uses, and age-stratified pediatric/geriatric adverse event signals. It reports descriptive statistics on patent status, administration routes, species coverage, and physicochemical similarity between human and veterinary drugs.

Key findings

  • The update adds 285 drugs approved up to 31 March 2022: 131 for human use only and 154 for veterinary use only; 242 existing drugs are now associated with both human and veterinary approvals. It indexes 396 unique veterinary drugs from FDA’s Green Book, of which 154 were new entries.
  • Patent and route statistics: 60% of covered drugs are OFP, 17% OFM, and 23% ONP; 59% are oral, 33% parenteral, and 18% topical. Only 3% of all indexed drugs are animal-use only, while 61% of veterinary drugs are also approved for human use; dogs (211), cats (120), horses (117), cattle (105), and swine (57) are the most represented species.
  • Off-label uses: 66 new off-label uses (40 drugs, 51 conditions) were extracted from the r/medicine Reddit subforum; 90% are mentioned in at least four PubMed articles, with a median of 36 articles per off-label use, and at least one clinical trial exists for 73% of them.
  • Adverse events: FAERS_GER significant signals are 1753 times larger than FAERS_PED; at LLR > threshold, pediatric data have 136 drug–AE pairs (70 drugs/99 AEs) versus 238,410 pairs (1724 drugs/11,832 AEs) in geriatric data.

Methods

  • DrugCentral monitors FDA, EMA, and PMDA approvals and standardizes drug information; this release adds approvals through 31 March 2022, veterinary drugs from FDA’s Green Book, off-label uses from r/medicine, and FAERS adverse event signals stratified by age (pediatric 1 day–17 years; geriatric >65 years).
  • New functionality includes Target Cards queried by UniProt accession and chemical substructure searching using SMILES, supported by the RDKit PostgreSQL cartridge; data are available via web interface, PostgreSQL dump, Docker container, and Python API.
  • Analyses are descriptive database statistics and comparisons, including physicochemical property distributions, bioactivity potency summaries, and literature/clinical trial documentation counts for off-label versus approved indications.

Limitations

  • Stated in the paper: off-patent classifications for veterinary drugs were assigned only for veterinary drugs approved for human use because the OrangeBook covers only human drugs; capturing “extra-label uses” for veterinary medicine is not trivial; and no new data were generated or analyzed in support of the research.
  • Evident from the text: the new off-label uses come from an unconventional source (Reddit medical forum), although the paper reports that they were documented through literature and clinical trial searches.
  • Evident from the text: the large geriatric-versus-pediatric FAERS signal difference is interpreted by the authors as possibly reflecting increased drug consumption, prolonged treatment, overlapping treatments, and multiple diseases in older adults rather than a pure risk comparison.

Model-written summary. Check it against the paper before relying on it.

Integrity signals

Registry

Crossref · 10.1093/nar/gkac1085

Cites

57 of 57 references verified0 citation errors · 0 not checkable

Statistics

Nothing to recompute.

Claims the paper makes

0 of 52 cited sources checked · 0 supported · 0 flagged

  • Findingown data

    DrugCentral 2023 integrates 154 veterinary drugs for animal use only.

    “the integration of veterinary drugs (154 for animal use only)”
    Quote in the paperSubstantial claim
  • Findingown data

    61% of veterinary drugs are also approved for human use.

    “however, 61% of the veterinary drugs are also approved for human use”
    Quote in the paperNot a substantial claim
  • Findingown data

    DrugCentral 2023 identifies adverse drug events from pharmacovigilance data for pediatric and geriatric patients.

    “the identification of adverse drug events from pharmacovigilance data for pediatric and geriatric patients”
    Quote in the paperSubstantial claim
  • Findingown data

    Only 3% of all drugs are for animal use only.

    “(iii) only 3% of all drugs are for animal use only”
    Quote in the paperNot a substantial claim
  • Findingown data

    DrugCentral 2023 adds 66 documented off-label uses.

    “the addition of 66 documented off-label uses”
    Quote in the paperSubstantial claim
  • May combine two claims. 49
  • Classified as probably not a substantial claim. 29
  • May combine two claims.

    Findingown data

    60% of covered drugs are on-market drugs with expired patent and exclusivity coverage, 17% are off-market, and 23% are on-market drugs with active patents and exclusivity coverage.

    “(i) 60% of the covered drugs are on-market drugs with expired patent and exclusivity coverage, 17% are off-market, and 23% are on-market drugs with active patents and exclusivity coverage”
    Quote in the paperNot a substantial claim
  • May combine two claims.

    Findingown data

    DrugCentral 2023 update contains 285 drugs, of which 131 are for human use.

    “The current update contains 285 drugs (131 for human use).”
    Quote in the paperNot a substantial claim
  • May combine two claims.

    Findingown data

    59% of drugs are oral, 33% parenteral, and 18% topical, at the level of active ingredients.

    “(ii) 59% of the drugs are oral, 33% are parenteral and 18% topical, at the level of the active ingredients”
    Quote in the paperNot a substantial claim
  • May combine two claims.

    Findingown data

    DrugCentral 2023 includes post-marketing drug events in populations up to 17 years of age (pediatric) and over 65 years (geriatric).

    “A third feature of the new DrugCentral version refers to post-marketing drug events in populations up to 17 years of age (pediatric) and over 65 years (geriatric).”
    Quote in the paperSubstantial claim
  • May combine two claims.

    Findingown data

    Around 73% (255 drugs) of newly added drugs received their first approval from FDA, including all veterinary drugs.

    “Around 73% (255 drugs) of the newly added drugs received their first approval from FDA (including all veterinary drugs)”
    Quote in the paperNot a substantial claim
  • May combine two claims.

    Findingown data

    Of the 285 new drugs, 131 were approved only for human use and 154 only for veterinary use.

    “Of these, 131 were approved only for human use and 154 only for veterinary use (Figure 1A).”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Findingcitation

    The number of new orphan drugs approved to treat rare diseases remains constant at ∼60, as reported in 2021.

    “The number of new orphan drugs approved to treat rare diseases (23) remains constant at ∼60, as reported in 2021 (Table 1).”
    Quote in the paperNot a substantial claim0 of 1 sources checked
    • cites [23] Tambuyzer, 2020, Therapies for rare diseases: therapeutic modalities, progress and challenges ahead, Nat. Rev. Drug Discov. source

      Not checked in the free run.

  • May combine two claims.

    Findingnone given

    DrugCentral 2023 adds veterinary drugs, off-label drug uses not indexed by conventional medical sources, and adverse drug events for pediatric and geriatric medicine.

    “DrugCentral 2023 adds new features: (i) veterinary drugs, (ii) off-label drug uses not indexed by conventional medical sources and (iii) adverse drug events for pediatric and geriatric medicine.”
    Quote in the paperSubstantial claim
  • Probably not a substantial claim: may not pass S3 (load-bearing), S4 (based).

    Findingnone given

    The physicochemical property profile of animal drugs is very similar to that of human drugs.

    “(v) the physicochemical property profile of animal drugs is very similar to that of human drugs”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Findingown data

    Almost half of the biologics (46%) received orphan designations and are associated with rare disease therapies.

    “almost half of the biologics (46%) received orphan designations and are associated with rare disease therapies.”
    Quote in the paperNot a substantial claim
  • May combine two claims.

    Findingown data

    Approval status was updated with 101 drugs approved by FDA, 48 by EMA, and 47 by PMDA.

    “101 drugs approved by the FDA, 48 by EMA, and 47 by PMDA (Table 1)”
    Quote in the paperNot a substantial claim
  • May combine two claims.

    Findingown data

    DrugCentral indexed a dataset of 395 unique veterinary agents from FDA's Green Book and curated associated related data.

    “we indexed a dataset of 395 unique veterinary agents from FDA’s ‘Green Book’”
    Quote in the paperSubstantial claim
  • May combine two claims.

    Findingown data

    Around 60% of drugs are OFP, 17% OFM, and 23% ONP.

    “Around 60% of the drugs are OFP (on-market drugs with expired patent and exclusivity coverage), 17% are OFM (off-market drugs) and 23% are ONP (on-market drugs covered by active patent and exclusivity) status.”
    Quote in the paperNot a substantial claim
  • May combine two claims.

    Findingcitation

    The 2023 DrugCentral database contains off-patent tags for 1712 drugs, a 10% increase compared to 2021.

    “The 2023 DrugCentral database contains off-patent tags for 1712 drugs, a 10% increase in drug annotations compared to 2021 (24).”
    Quote in the paperNot a substantial claim0 of 1 sources checked
    • cites [24] Avram, 2020, Off-Patent drug repositioning, J. Chem. Inf. Model. source

      Not checked in the free run.

  • May combine two claims.

    Findingreasoning

    Post-marketing surveillance data from FDA's FAERS has been aggregated based on age, and significant adverse events were identified and incorporated into DrugCentral.

    “post-marketing surveillance data from FDA’s FAERS has been aggregated based on age, and significant adverse events were identified and incorporated into the database.”
    Quote in the paperSubstantial claim
  • May combine two claims.

    Findingown data

    The ratio between the number of targets to the number of drugs is highest in HUMVET (4 targets/drug), followed by VETERINARY (3 targets/drug) and HUMAN (1.3 targets/drug).

    “However, the ratio between the number of targets to the number of drugs is highest in HUMVET (4 targets/drug), followed by VETERINARY (3 targets/drug) and HUMAN (1.3 targets/drug) (Figure 4C and D).”
    Quote in the paperNot a substantial claim
  • May combine two claims.

    Findingcitation

    There are 166 drugs mapped into the off-patent schema: 119 OFP, 46 OFM, and only one ONP.

    “There are 166 drugs mapped into the off-patent schema (24) as follows: 119 OFP, 46 OFM, and only one ONP.”
    Quote in the paperSubstantial claim0 of 1 sources checked
    • cites [24] Avram, 2020, Off-Patent drug repositioning, J. Chem. Inf. Model. source

      Not checked in the free run.

  • May combine two claims.

    Findingown data

    In terms of basic physicochemical and structural properties, the middle 80% of the data ranges as follows: 200 ≤ MW ≤ 615, −1 ≤ CLOGP ≤ 5.25, 1 ≤ ROTB ≤ 11, 2 ≤ HBA ≤ 12, HBD ≤ 4.

    “the middle 80% of the data ranges as follows: 200 ≤ MW ≤ 615, −1 ≤ CLOGP ≤ 5.25 (the calculated 1-octanol/water partition coefficient), 1 ≤ ROTB ≤ 11 (number of rotatable bonds), 2 ≤ HBA ≤ 12 (number of hydrogen bond acceptors), HBD ≤ 4 (number of hydrogen bond donors).”
    Quote in the paperNot a substantial claim
  • May combine two claims.

    Findingown data

    Regarding prescription type, 57% of the veterinary drug products (covering most drugs: 305) are Rx and 43% are OTC.

    “Regarding prescription type, 57% of the veterinary drug products (covering most drugs: 305) are Rx and 43% are OTC.”
    Quote in the paperNot a substantial claim
  • May combine two claims.

    Findingown data

    Of 4927 drugs stored in DrugCentral, 65% were successfully mapped into WHO ATC classes and 61% into MeSH data.

    “Of 4927 drugs stored in DrugCentral, 65% were successfully mapped into WHO ATC classes and 61% into MeSH data (Table 1).”
    Quote in the paperNot a substantial claim
  • May combine two claims.

    Findingown data

    Most of these products (77%) are originals (approved as new animal drug applications; NADA), and the remaining 23% are generics (or ANDA).

    “Most of these products (77%) are originals (approved as new animal drug applications; NADA), and the remaining 23% are generics (or ANDA; a copy of an approved new animal drug for which patents or other periods of exclusivity are near expiration).”
    Quote in the paperNot a substantial claim
  • May combine two claims.

    Findingown data

    Most bioactivity data (65%) pertain to human targets, followed by 18% determined against rat, mouse, and bovine targets.

    “Most bioactivity data (65%) pertain to human targets, followed by 18% determined against rat, mouse, and bovine targets.”
    Quote in the paperNot a substantial claim
  • May combine two claims.

    Findingown data

    The three distributions are very similar, but a slight shift towards larger values can be observed in VET drugs for MW (median 444.61 a.m.u.) and HBA (median 7) relative to HUM and HUMVET drugs (MW medians 358.48 and 345.87 a.m.u., HBA medians 5 and 5).

    “The three distributions are very similar, but a slight shift towards larger values can be observed in VET drugs for MW (median of 444.61 a.m.u.) and HBA (median of 7) relative to HUM and HUMVET drugs (MW medians of 358.48 a.m.u. and 345.87 a.m.u., respectively, and HBA medians of 5 and 5, respectively).”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Findingown data

    The top three WHO ATC L1 groups with the largest number of drugs are nervous system (522 drugs), alimentary tract and metabolism (450), and cardiovascular system (396).

    “The top three WHO ATC L1 groups (anatomical or pharmacologic) with the largest number of drugs are: the nervous system (522 drugs), the alimentary tract and metabolism (450), and the cardiovascular system (396).”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Findingown data

    Figure 3 plots density distributions separately for 4078 drugs approved only for human use (HUM), 135 drugs approved only for veterinary use (VET), and 216 drugs approved for both human and veterinary use (HUMVET).

    “A more detailed view of small molecules is provided in Figure 3, which plots density distributions separately for 4078 drugs approved only for human use (HUM), 135 drugs approved only for veterinary use (VET), and 216 drugs approved for both human and veterinary use (HUMVET).”
    Quote in the paperNot a substantial claim
  • May combine two claims.

    Findingown data

    The median for newly added activity values for MoA targets is higher compared to the median of those indexed in DrugCentral 2021: at least 80% of activity values are >7.7 −log[M] (median 8.4) for new MoA targets compared to >6.43 −log[M] (median 8) previously.

    “at least 80% of the activity values are >7.7 −log[M] (median of 8.4 −log[M]) for the new MoA targets compared to >6.43 −log[M] (median of 8 −log[M]) previously found in DrugCentral.”
    Quote in the paperSubstantial claim
  • May combine two claims.

    Findingown data

    90% of the new OLUs (pair of drug - medical condition) are mentioned in at least four scientific articles in PubMed, with a median of 36 articles per off-label use.

    “The results showed that 90% of the new OLUs (pair of drug - medical condition) are mentioned in at least four scientific articles in PubMed, with a median of 36 articles per off-label use.”
    Quote in the paperSubstantial claim
  • May combine two claims.

    Findingown data

    81% of drugs (in 64,704 products) are licensed for human prescription (Rx), and 19% (in 72,986 products) are over-the-counter (OTC) drugs.

    “Further, 81% of the drugs (in 64 704 products) are licensed for human prescription (Rx), and 19% (in 72 986 products) are over-the-counter (OTC) drugs.”
    Quote in the paperNot a substantial claim
  • May combine two claims.

    Findingown data

    Regarding active ingredients relative to administration route, 59% of drugs are oral, 33% parenteral, and 18% topical.

    “regarding the number of active ingredients relative to the administration route, we found that 59% of the drugs are oral, followed by 33% parenteral and 18% topical.”
    Quote in the paperNot a substantial claim
  • May combine two claims.

    Findingcitation

    The current version of DrugCentral reports 708 Tchem, 415 Tbio and 26 Tdark proteins, mapped onto TCRD and interfaced with Pharos.

    “The current version of DrugCentral reports 708 Tchem, 415 Tbio and 26 Tdark proteins, mapped onto the Target Central Resource Database (TCRD) and interfaced with the TCRD portal, Pharos, respectively (39,40).”
    Quote in the paperNot a substantial claim0 of 2 sources checked
    • cites [39] Nguyen, 2017, Pharos: collating protein information to shed light on the druggable genome, Nucleic Acids Res. source

      Not checked in the free run.

    • cites [40] Sheils, 2021, TCRD and pharos 2021: mining the human proteome for disease biology, Nucleic Acids Res. source

      Not checked in the free run.

  • May combine two claims.

    Findingown data

    Most veterinary drugs (83%) are small organic molecules, and only 5.3% are biologics.

    “Most veterinary drugs (83%) are small organic molecules, and only 5.3% are biologics.”
    Quote in the paperNot a substantial claim
  • May combine two claims.

    Findingown data

    The third group comprises 34 antiinflammatory drugs: 14 non-steroidal and 20 glucocorticoids.

    “The third group comprises 34 antiinflammatory drugs: 14 non-steroidal and 20 glucocorticoids.”
    Quote in the paperNot a substantial claim
  • May combine two claims.

    Findingown data

    There are 137,693 drug products, of which 88% are formulated for oral (48%) and topical (40%) administration.

    “There are 137 693 drug products, of which 88% are formulated for oral (48%) and topical (40%) administration.”
    Quote in the paperNot a substantial claim
  • May combine two claims.

    Findingown data

    Kinase activities cover the largest number of protein targets but the smallest number of drugs among the three protein families.

    “Kinase activities cover the largest number of protein targets but also the smallest number of drugs among the three protein families.”
    Quote in the paperNot a substantial claim
  • May combine two claims.

    Findingown data

    The largest pharmacological class in veterinary drugs is defined by anti-infective agents (32% according to MeSH), mainly comprising antibiotics and antiparasitics.

    “The largest pharmacological class in veterinary drugs is defined by anti-infective agents (32% according to the MeSH pharmacological classification), mainly comprising antibiotics and antiparasitics (Figure 4A).”
    Quote in the paperNot a substantial claim
  • May combine two claims.

    Findingown data

    60% of the drugs are OFP, 17% are OFM, and 23% are ONP.

    “We also uncovered several interesting statistics: (i) 60% of the drugs are OFP, 17% are OFM, and 23% are ONP;”
    Quote in the paperNot a substantial claim
  • May combine two claims.

    Findingown data

    The outcomes showed at least one clinical trial for 73% of the new OLUs and for all approved indications.

    “The outcomes showed at least one clinical trial for 73% of the new OLUs and, not surprisingly, for all approved indications (Table 4).”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim: may not pass S3 (load-bearing), S4 (based).

    Findingnone given

    Currently, azaperone is the only sedative approved for pigs.

    “Currently, azaperone is the only sedative approved for pigs.”
    Quote in the paperNot a substantial claim
  • May combine two claims.

    Findingown data

    The 2023 version computes adverse drug event scores granulated by age: pediatric data (FAERS_PED) covers patients from 1 day to 17 years, and geriatric data (FAERS_GER) focuses on elderly patients over 65 years of age.

    “The 2023 version goes further by computing adverse drug event scores granulated by age: pediatric data (FAERS_PED) covers patients from 1 day to 17 years, and geriatric data (FAERS_GER) focuses on elderly patients over 65 years of age respectively.”
    Quote in the paperSubstantial claim
  • Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.

    Findingnone given

    The 2023 release supports 'Target Card' and chemical substructure queries.

    “The 2023 release also supports ‘Target Card’ and chemical substructure queries (vide infra).”
    Quote in the paperNot a substantial claim
  • May combine two claims.

    Findingown data

    There are 70 drugs and 99 terms describing the adverse event in pediatrics, versus 1724 drugs with 11 832 MedDRA PTs in geriatric data.

    “There are 70 drugs and 99 terms describing the adverse event in pediatrics, versus 1724 drugs with 11 832 MedDRA PTs in geriatric data.”
    Quote in the paperSubstantial claim
  • Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.

    Findingnone given

    According to DrugCentral records, baricitinib is approved for atopic dermatitis and rheumatoid arthritis, while ruxolitinib is approved for myeloproliferative disorders, including polycythemia vera.

    “According to DrugCentral records, baricitinib is approved for atopic dermatitis and rheumatoid arthritis, while ruxolitinib is approved for myeloproliferative disorders, including polycythemia vera.”
    Quote in the paperNot a substantial claim
  • May combine two claims.

    Findingown data

    The top 3 drugs showing the most AEs are ampicillin, acetylsalicylic acid and ibuprofen in pediatrics, while in geriatrics, the top drugs are methotrexate, etanercept, and tacrolimus.

    “For example, the top 3 drugs showing the most AEs are ampicillin, acetylsalicylic acid and ibuprofen (usually used to treat acute diseases) in pediatrics, while in geriatrics, the top drugs are methotrexate, etanercept, and tacrolimus (used in chronic conditions).”
    Quote in the paperNot a substantial claim
  • May combine two claims.

    Findingown data

    Based on their administration route, 59% of the drugs are orally formulated, with 33% parenteral and 18% topical.

    “(ii) based on their administration route, 59% of the drugs are orally formulated, with 33% parenteral and 18% topical;”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Premisecitation

    About half of FDA-approved animal drugs are also approved for humans.

    “About half of the FDA-approved animal drugs are also approved for humans (13).”
    Quote in the paperNot a substantial claim0 of 1 sources checked
    • cites [13] Scott, 2020, A structural analysis of the FDA green book-approved veterinary drugs and roles in human medicine, J. Med. Chem. source

      Not checked in the free run.

  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Premisecitation

    Harm rates in pediatrics remain high (19.1 adverse events per 1000 inpatient days) despite nationwide efforts to improve patient safety.

    “Harm rates in pediatrics remain high (19.1 adverse events per 1000 inpatient days) despite nationwide efforts to improve patient safety (22).”
    Quote in the paperNot a substantial claim0 of 1 sources checked
    • cites [22] Stockwell, 2018, Adverse events in hospitalized pediatric patients, Pediatrics source

      Not checked in the free run.

  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Premisecitation

    Using pharmaceutical formulations or dosage not mentioned in the drug label for an indication falls into the practice of off-label drug use.

    “Using pharmaceutical formulations (e.g. oral solution instead of capsules) or dosage (e.g. two tablets instead of one per day) not mentioned in the drug label for an indication also falls into the practice of off-label drug use (16).”
    Quote in the paperNot a substantial claim0 of 1 sources checked
    • cites [16] Wittich, 2012, Ten common questions (and their answers) about off-label drug use, Mayo Clin. Proc. source

      Not checked in the free run.

  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Premisecitation

    It is estimated that 57% of drug therapy innovations were discovered by practicing clinicians through field discovery.

    “it is estimated that 57% of drug therapy innovations were discovered by practicing clinicians through field discovery (18).”
    Quote in the paperNot a substantial claim0 of 1 sources checked
    • cites [18] Demonaco, 2006, The major role of clinicians in the discovery of off-label drug therapies, Pharmacotherapy source

      Not checked in the free run.

  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Study design and conductnone given

    Approved therapeutic drug uses, off-label uses and contraindications are manually curated from drug labels and scientific literature.

    “Approved therapeutic drug uses, off-label uses and contraindications are manually curated from drug labels and the scientific literature.”
    Quote in the paperNot a substantial claim
  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Premisecitation

    Physicians may treat off-label clinical conditions and diseases for patients that respond poorly to conventional treatment, often in specific populations poorly represented in clinical trials, e.g. pediatric, pregnant or psychiatric patients.

    “physicians may treat off-label clinical conditions and diseases for patients that respond poorly to conventional treatment, often in specific populations poorly represented in clinical trials, e.g. pediatric, pregnant or psychiatric patients (16).”
    Quote in the paperNot a substantial claim0 of 1 sources checked
    • cites [16] Wittich, 2012, Ten common questions (and their answers) about off-label drug use, Mayo Clin. Proc. source

      Not checked in the free run.

  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Premisecitation

    Some veterinary antibiotics were first approved in animals.

    “However, some were first approved in animals (14).”
    Quote in the paperNot a substantial claim0 of 1 sources checked
    • cites [14] Milton, 2020, Moxidectin: an oral treatment for human onchocerciasis, Expert Rev. Anti. Infect. Ther. source

      Not checked in the free run.

  • May combine two claims.

    Premisecitation

    The COVID-19 pandemic has emphasized the impact of zoonotic diseases on human health and highlighted veterinary drugs as a potential source of viable antivirals.

    “The recent COVID-19 pandemic has emphasized the impact of zoonotic diseases on human health but has also highlighted veterinary drugs as a potential source of viable antivirals (15).”
    Quote in the paperSubstantial claim0 of 1 sources checked
    • cites [15] Ma, 2020, Boceprevir, GC-376, and calpain inhibitors II, XII inhibit SARS-CoV-2 viral replication by targeting the viral main protease, Cell Res. source

      Not checked in the free run.

  • Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.

    Premisecitation

    Veterinary medicine plays a crucial role in human and public health by improving animal health, agriculture and food systems, biomedical and comparative medical research, and addressing zoonotic diseases.

    “Veterinary medicine plays a crucial role in human and public health by improving animal health (companion animals, wildlife, exotic animals and food animals), agriculture and food systems, biomedical and comparative medical research, and addressing zoonotic diseases (12).”
    Quote in the paperNot a substantial claim0 of 1 sources checked
    • cites [12] King, 2006, Veterinary medicine and public health at CDC, MMWR Suppl.

      Not checked in the free run.

  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Premisecitation

    DrugCentral has been a public digital database aggregating drug information since 2016.

    “DrugCentral has been a public digital database aggregating drug information since 2016 (1).”
    Quote in the paperNot a substantial claim0 of 1 sources checked
    • cites [1] Ursu, 2016, DrugCentral: online drug compendium, Nucleic Acids Res. source

      Not checked in the free run.

  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Premisecitation

    Medical care could be the third leading cause of death in the United States.

    “and could be the third leading cause of death in the United States (21).”
    Quote in the paperNot a substantial claim0 of 1 sources checked
    • cites [21] Makary, 2016, Medical error-the third leading cause of death in the uS, BMJ source

      Not checked in the free run.

  • Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.

    Premisecitation

    A study mining US NDTI prescription data showed that 21% of overall drug use is off-label, of which 73% had little or no scientific support.

    “A study mining US Health National Disease and Therapeutic Index (NDTI) prescription data showed that 21% of overall drug use is off-label, of which 73% had little or no scientific support (17).”
    Quote in the paperNot a substantial claim0 of 1 sources checked
    • cites [17] Radley, 2006, Off-label prescribing among office-based physicians, Arch. Intern. Med. source

      Not checked in the free run.

  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Premisecitation

    It is estimated that medical care is responsible for 10,000-444,000 deaths annually.

    “It is estimated that medical care is responsible for 10 000–444 000 deaths annually (20)”
    Quote in the paperNot a substantial claim0 of 1 sources checked
    • cites [20] James, 2013, A new, evidence-based estimate of patient harms associated with hospital care, J. Patient Saf. source

      Not checked in the free run.

  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Premisecitation

    Nearly all veterinary antibiotics were first approved in humans.

    “Nearly all veterinary antibiotics were first approved in humans.”
    Quote in the paperNot a substantial claim0 of 1 sources checked
    • cites [14] Milton, 2020, Moxidectin: an oral treatment for human onchocerciasis, Expert Rev. Anti. Infect. Ther. source

      Not checked in the free run.

  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Interpretationcitation

    Including veterinary drugs in DrugCentral could inform promiscuity analyses such as BADAPPLE, a chemical pattern detection algorithm.

    “Including veterinary drugs in DrugCentral could inform promiscuity analyses such as BADAPPLE, a chemical pattern detection algorithm (46).”
    Quote in the paperNot a substantial claim0 of 1 sources checked
    • cites [46] Yang, 2016, Badapple: promiscuity patterns from noisy evidence, J. Cheminform. source

      Not checked in the free run.

  • May combine two claims.

    Study design and conductcitation

    Chemical structures were manually assigned to 140 of the latest veterinary drugs, and molecular descriptors and structure depictions were computed per DrugCentral workflow.

    “Chemical structures were manually assigned to 140 of the latest veterinary drugs, and molecular descriptors and structure depictions were computed per DrugCentral workflow (1).”
    Quote in the paperNot a substantial claim0 of 1 sources checked
    • cites [1] Ursu, 2016, DrugCentral: online drug compendium, Nucleic Acids Res. source

      Not checked in the free run.

  • May combine two claims.

    Interpretationown data

    The high percentage of OFP drugs, and the similar molecular property profile distribution, suggest that veterinary drugs may be viable candidates in animal drug repositioning programs.

    “The high percentage of OFP drugs, and the similar molecular property profile distribution, suggest that veterinary drugs may be viable candidates in animal drug repositioning programs.”
    Quote in the paperSubstantial claim
    • Rests on an assumption: Off-patent status and similar molecular property profile distribution indicate that veterinary drugs may be viable candidates in animal drug repositioning programs.
  • May combine two claims.

    Interpretationreasoning

    Human-to-animal drug repurposing opportunities exist and are supported by 'extra-label uses'.

    “This suggests that human-to-animal drug repurposing opportunities exist and are supported by ‘extra-label uses’ (approved FDA terminology).”
    Quote in the paperSubstantial claim
  • May combine two claims.

    Premisecitation

    Azaperone (Stresnil®) is used to reduce fear and aggression in recently mixed groups of pigs, based on a 1968 report showing its sedative effect in swine.

    “Azaperone (Stresnil®) is used to reduce fear and aggression in recently mixed groups of pigs, based on a 1968 report showing its sedative effect in swine (50).”
    Quote in the paperNot a substantial claim0 of 1 sources checked
    • cites [50] Marsboom, 1968, Ervaringen met azaperone (R1929*) als sedativum bij het varken, Tijdschr. Diergeneeskd.

      Not checked in the free run.

  • Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.

    Premisecitation

    Azaperone is a butyrophenone invented by Paul Janssen, as part of a series of neuroleptic drugs.

    “Use case: Azaperone is a butyrophenone invented by Paul Janssen, as part of a series of neuroleptic drugs (49).”
    Quote in the paperNot a substantial claim0 of 1 sources checked
    • cites [49] Janssen, 1961, Heterocyclic derivatives of 1-phenyl-omega-(piperazine)alkanols

      Not checked in the free run.

  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Premisecitation

    Based on an in-house drug discovery knowledge graph, BenevolentAI scientists proposed baricitinib, at the time approved for rheumatoid arthritis, as a drug repurposing candidate for severe COVID-19.

    “Based on an in-house drug discovery knowledge graph, BenevolentAI scientists proposed baricitinib, at the time approved for rheumatoid arthritis, as a drug repurposing candidate for severe COVID-19 (52,53).”
    Quote in the paperNot a substantial claim0 of 2 sources checked
    • cites [52] Richardson, 2020, Baricitinib as potential treatment for 2019-nCoV acute respiratory disease, Lancet source

      Not checked in the free run.

    • cites [53] Smith, 2021, Expert-Augmented computational drug repurposing identified baricitinib as a treatment for COVID-19, Front. Pharmacol. source

      Not checked in the free run.

  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Premisecitation

    Half of the FDA-approved animal drugs are approved for human use.

    “It has been previously noted that half of the FDA-approved animal drugs are approved for human use (13).”
    Quote in the paperNot a substantial claim0 of 1 sources checked
    • cites [13] Scott, 2020, A structural analysis of the FDA green book-approved veterinary drugs and roles in human medicine, J. Med. Chem. source

      Not checked in the free run.

  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Interpretationown data

    Humans are more predisposed to provide pharmaceutical care to companion animals (i.e. dogs, cats and horses), than domesticated (food) animals or wild animals.

    “Given this therapeutic arsenal, it appears that humans are more predisposed to provide pharmaceutical care to companion animals (i.e. dogs, cats and horses), than domesticated (food) animals or wild animals.”
    Quote in the paperNot a substantial claim
  • May combine two claims.

    Interpretationreasoning

    The top 10 FAERS-listed adverse events, regardless of gender or age, are consistent with ruxolitinib affecting the bone marrow, which probably makes this drug less suitable in severe viral infections.

    “The top 10 FAERS-listed adverse events, regardless of gender or age, are consistent with ruxolitinib affecting the bone marrow (adverse events related to platelets, erythrocytes and white blood cells, and splenomegaly), which probably makes this drug less suitable in severe viral infections.”
    Quote in the paperSubstantial claim
  • May combine two claims.

    Premisecitation

    Ruxolitinib has a similar kinase inhibition profile with a higher JAK1/JAK2 potency.

    “Ruxolitinib has a similar kinase inhibition profile with a higher JAK1/JAK2 potency (https://drugcentral.org/drugcard/4190).”
    Quote in the paperSubstantial claim0 of 1 sources checked
    • cites https://drugcentral.org/drugcard/4190

      Not checked in the free run.

  • Classified as probably not a substantial claim.

    Premisecitation

    The National Institutes of Health recommends against using ruxolitinib for the treatment of COVID-19.

    “However, ruxolitinib failed to show significant protection in the treatment of severe coronavirus disease (57) and the National Institutes of Health recommends against using ruxolitinib for the treatment of COVID-19 (https://bit.ly/3TtgsIe).”
    Quote in the paperSubstantial claim0 of 1 sources checked
    • cites https://bit.ly/3TtgsIe

      Not checked in the free run.

  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Premisecitation

    The lack of approved anti-SARS-CoV-2 drugs during the initial phases of the COVID-19 pandemic led to increased enthusiasm in computer-aided drug repurposing.

    “The lack of approved anti-SARS-CoV-2 drugs during the initial phases of the COVID-19 pandemic led to increased enthusiasm in computer-aided drug repurposing (51).”
    Quote in the paperNot a substantial claim0 of 1 sources checked
    • cites [51] Levin, 2020, Artificial intelligence, drug repurposing and peer review, Nat. Biotechnol. source

      Not checked in the free run.

  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Premisecitation

    Baricitinib was approved (in combination with remdesivir) on November 19 2020 by the US FDA for COVID-19 under the Emergency Use Authorization status.

    “Baricitinib was approved (in combination with remdesivir) on November 19 2020 by the US FDA for COVID-19 under the Emergency Use Authorization status (https://bit.ly/3giFeN1).”
    Quote in the paperNot a substantial claim0 of 1 sources checked
    • cites https://bit.ly/3giFeN1

      Not checked in the free run.

  • May combine two claims.

    Study design and conductcitation

    The new off-label use data set was documented using automatic searches in scientific literature and clinical trials data and compared to 209 approved indications and other OLUs indexed by DrugCentral for the same 40 drugs.

    “The data set was documented thoroughly using automatic searches in the scientific literature and clinical trials data and compared to 209 approved indications and other off-label uses (OLUs) indexed by DrugCentral (for the same 40 drugs) (19).”
    Quote in the paperSubstantial claim0 of 1 sources checked
    • cites [19] Avram, 2022, Annotating off-label drug usage from unconventional sources source

      Not checked in the free run.

73 of 73
  • The paper relies on this without support.

    Off-patent status and similar molecular property profile distribution indicate that veterinary drugs may be viable candidates in animal drug repositioning programs.

    “The high percentage of OFP drugs, and the similar molecular property profile distribution, suggest that veterinary drugs may be viable candidates in animal drug repositioning programs.”
  • The paper relies on this without support.

    The absence of ADC and RNA drugs indicates that therapeutic modalities for animal use trail behind human medicines regarding innovation.

    “The absence of ADC and RNA drugs suggests that therapeutic modalities for animal use trail behind human medicines regarding innovation.”
  • The paper relies on this without support.

    Higher median activity values indicate increased potency.

    “This trend suggests an increase in potency, in particular for novel drugs.”
3 of 3

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • Although DrugCentral maps drug uses to existing terminologies like SNOMED-CT and MeSH, capturing therapeutic intent computationally is challenging.

    “Although DrugCentral maps drug uses to existing terminologies like SNOMED-CT and MeSH, two global standards for health terms, capturing therapeutic intent computationally is challenging (48).”

    From Artificial Intelligence for Drug Discovery: Are We There Yet? (2024) · cites this paper as [48]

    The Web interface section (page unavailable) says DrugCentral supports drug-use searches through SNOMED-CT mappings. The Pharmacological classification section (page unavailable) reports MeSH mappings for drug classes, not specifically for drug uses. The Summary and future directions section says capturing veterinary extra-label uses is “not trivial,” but does not make the broader claim that computationally capturing therapeutic intent is challenging. (LLM, conf=0.86)

    Experimental — accuracy not yet measured

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

Each contradiction between two passages listed here was confirmed by an independent check.

  • FDA share of newly added drugs is misstated

    Minor

    The paper says 285 drugs were newly added. Of those, 255 is about 89.5%, not 73%.

    Reported 73 · recomputed 89.473684

  • Human-protein data points exceed all bioactivity data points

    Minor

    As printed in Table 1, the 2023 human-protein count, 13 9238, exceeds the total of 18 830 bioactivity data points.

2 of 2

Cites

Flagged first, then by citations

Research works printed but not linked: 1

  1. Marsboom, 1968, Ervaringen met azaperone (R1929*) als sedativum bij het varken, Tijdschr. Diergeneeskd., 93, 3

Cited by

Sorted by citations

Authors
Avram, S., Wilson, T. B., Curpan, R., Halip, L., Borota, A., Bora, A., Bologa, C. G., Holmes, J., Knockel, J., Yang, J. J., & Oprea, T. I.
Affiliations
  • Department of Computational Chemistry, “Coriolan Dragulescu” Institute of Chemistry , 24 Mihai Viteazu Blvd , Timişoara, Timiş  300223 , Romania
  • University of New Mexico (US)
Corresponding author
Oprea, Tudor I
Venue
Nucleic Acids Research
Published
2022-12-09
Volume
51
Issue
D1
Pages
D1276-D1287
ISSN
  • 0305-1048 (ISSN-L)
  • 1362-4962
OpenAlex
W4310945327
Cited by
101
References
57
Citations by year
2026: 24 · 2025: 31 · 2024: 30 · 2023: 16
FWCI
10.93
Type
journal article
Language
en
Open access
Locations
  • Nucleic Acids Research (publishedVersion, cc-by-nc)
  • PubMed Central (publishedVersion, cc-by-nc)
  • PubMed (publishedVersion)
Funders
National Institutes of Health (U24 CA224370)
Topics
  • Physical Sciences › Computer Science › Computational Theory and Mathematics › Computational Drug Discovery Methods
  • Life Sciences › Pharmacology, Toxicology and Pharmaceutics › Toxicology › Pharmacovigilance and Adverse Drug Reactions
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Biomedical Text Mining and Ontologies
Keywords
drug information database, drug approval, veterinary therapeutics, off-label drug use, adverse drug reactions, pharmacovigilance, drug safety in children, SMILES, therapeutic target, UniProt, physicochemical properties, azaperone, ruxolitinib, JAK inhibitors
MeSH terms
Animals, Humans, Drug Approval, Veterinary Drugs, Off-Label Use, Drug-Related Side Effects and Adverse Reactions

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Claims read by deepseek-v4.1-flash under definition version 3 (extract-v3) on 2026-10-10.

Classified by jev-1.13-20260917 (gold-guideline-v0.2) on 2026-10-10.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review