methadone has been researched along with Genetic Predisposition in 20 studies
Methadone: A synthetic opioid that is used as the hydrochloride. It is an opioid analgesic that is primarily a mu-opioid agonist. It has actions and uses similar to those of MORPHINE. (From Martindale, The Extra Pharmacopoeia, 30th ed, p1082-3)
methadone : A racemate comprising equimolar amounts of dextromethadone and levomethadone. It is a opioid analgesic which is used as a painkiller and as a substitute for heroin in the treatment of heroin addiction.
6-(dimethylamino)-4,4-diphenylheptan-3-one : A ketone that is heptan-3-one substituted by a dimethylamino group at position 6 and two phenyl groups at position 4.
| Excerpt | Relevance | Reference |
|---|---|---|
| "Heroin dependence is a complex disease with multiple phenotypes." | 7.96 | Association studies of dopamine synthesis and metabolism genes with multiple phenotypes of heroin dependence. ( Chen, Y; Lai, J; Li, Y; Shi, X; Wei, S; Zhang, J; Zhu, Y, 2020) |
| "The results suggested an important role for GRK5 in the regulatory mechanisms of methadone dose and course of heroin dependence." | 7.88 | GRK5 Is Associated with the Regulation of Methadone Dosage in Heroin Dependence. ( Chen, ACH; Chung, RH; Fang, CP; Kuo, HW; Liu, CC; Liu, SC; Liu, TH; Liu, YL; Tsou, HH; Wang, SC, 2018) |
| "Heroin dependence is a complex disease with multiple phenotypes." | 3.96 | Association studies of dopamine synthesis and metabolism genes with multiple phenotypes of heroin dependence. ( Chen, Y; Lai, J; Li, Y; Shi, X; Wei, S; Zhang, J; Zhu, Y, 2020) |
| "The results suggested an important role for GRK5 in the regulatory mechanisms of methadone dose and course of heroin dependence." | 3.88 | GRK5 Is Associated with the Regulation of Methadone Dosage in Heroin Dependence. ( Chen, ACH; Chung, RH; Fang, CP; Kuo, HW; Liu, CC; Liu, SC; Liu, TH; Liu, YL; Tsou, HH; Wang, SC, 2018) |
| "Methadone is used worldwide for the treatment of heroin addiction; however, fatal poisonings are increasingly reported." | 3.77 | Interindividual variability in the prevalence of OPRM1 and CYP2B6 gene variations may identify drug-susceptible populations. ( Bunten, H; Liang, WJ; Osselton, D; Pounder, DJ; Seneviratne, C, 2011) |
| "344 methadone maintenance treatment (MMT) patients were recruited with records and measurements on methadone dose, plasma methadone concentrations, and treatment emergent symptom scales (TESS)." | 1.56 | Genetic variants in NECTIN4 encoding an adhesion molecule are associated with continued opioid use. ( Chen, ACH; Chung, RH; Fang, CP; Kuo, HW; Liu, CC; Liu, SC; Liu, TH; Liu, YL; Tsou, HH; Wang, SC, 2020) |
| "Methadone is known to be a risk factor for sudden death by enlarging ECG QT corrected (QTc) interval." | 1.51 | QT length during methadone maintenance treatment: gene × dose interaction. ( Bellivier, F; Bloch, V; Laplanche, JL; Lepine, JP; Marees, AT; Marie-Claire, C; Mouly, S; Naccache, F; Prince, N; Vorspan, F; Zerdazi, EH, 2019) |
| "In methadone-treated OD subjects drawn from a case and control sample, we conducted a genome-wide association study of usual daily methadone dose." | 1.46 | Genome-wide association study of therapeutic opioid dosing identifies a novel locus upstream of OPRM1. ( Cook-Sather, SD; Farrer, LA; Gelernter, J; Hakonarson, H; Jensen, KP; Kranzler, HR; Li, J; Nunez, Y; Smith, AH, 2017) |
| "Methadone is a medication valued for its effectiveness in the treatment of heroin addiction; however, many fatal poisonings associated with its use have been reported over the years." | 1.36 | OPRM1 and CYP2B6 gene variants as risk factors in methadone-related deaths. ( Bunten, H; Liang, WJ; Osselton, D; Pounder, DJ; Seneviratne, C, 2010) |
| Timeframe | Studies, this research(%) | All Research% |
|---|---|---|
| pre-1990 | 0 (0.00) | 18.7374 |
| 1990's | 0 (0.00) | 18.2507 |
| 2000's | 1 (5.00) | 29.6817 |
| 2010's | 14 (70.00) | 24.3611 |
| 2020's | 5 (25.00) | 2.80 |
| Authors | Studies |
|---|---|
| Zhang, Q | 4 |
| Shi, M | 1 |
| Tang, H | 1 |
| Zhong, H | 1 |
| Lu, X | 1 |
| Duan, L | 1 |
| Li, X | 3 |
| Yan, J | 1 |
| Chen, Y | 4 |
| Luo, R | 1 |
| Feng, X | 1 |
| Fang, CP | 3 |
| Liu, TH | 3 |
| Chung, RH | 2 |
| Tsou, HH | 2 |
| Kuo, HW | 3 |
| Wang, SC | 3 |
| Liu, CC | 3 |
| Liu, SC | 3 |
| Chen, ACH | 3 |
| Liu, YL | 3 |
| Li, Y | 2 |
| Zhu, Y | 2 |
| Lai, J | 1 |
| Shi, X | 1 |
| Zhang, J | 1 |
| Wei, S | 1 |
| Ortiz-Barrios, M | 1 |
| Gul, M | 1 |
| López-Meza, P | 1 |
| Yucesan, M | 1 |
| Navarro-Jiménez, E | 1 |
| Khuntia, HK | 1 |
| Chanakya, HN | 1 |
| D'Arienzo, M | 1 |
| Coniglio, A | 1 |
| Boag, AM | 1 |
| Short, A | 1 |
| Kennedy, LJ | 1 |
| Syme, H | 1 |
| Graham, PA | 1 |
| Catchpole, B | 1 |
| Tofighi, B | 1 |
| El Shahawy, O | 1 |
| Segoshi, A | 1 |
| Moreno, KP | 1 |
| Badiei, B | 1 |
| Sarker, A | 1 |
| Krawczyk, N | 1 |
| Zhou, Y | 2 |
| Li, R | 1 |
| Guo, B | 1 |
| Zhang, L | 1 |
| Zhang, H | 1 |
| Xia, S | 1 |
| Liu, Y | 1 |
| Nielsen, CU | 1 |
| Pedersen, M | 1 |
| Müller, S | 1 |
| Kæstel, T | 1 |
| Bjerg, M | 1 |
| Ulaganathan, N | 1 |
| Nielsen, S | 1 |
| Carlsen, KL | 1 |
| Nøhr, MK | 1 |
| Holm, R | 1 |
| Dottino, JA | 1 |
| Loose, DS | 1 |
| Fellman, B | 1 |
| Melendez, BD | 1 |
| Borthwick, MS | 1 |
| McKenzie, LJ | 1 |
| Yuan, Y | 1 |
| Yang, RK | 1 |
| Broaddus, RR | 1 |
| Lu, KH | 1 |
| Soliman, PT | 1 |
| Yates, MS | 1 |
| Zhu, Z | 1 |
| Hasegawa, K | 1 |
| Ma, B | 1 |
| Fujiogi, M | 1 |
| Camargo, CA | 1 |
| Liang, L | 1 |
| Sangroula, S | 1 |
| Baez Vasquez, AY | 1 |
| Raut, P | 1 |
| Obeng, B | 1 |
| Shim, JK | 1 |
| Bagley, GD | 1 |
| West, BE | 1 |
| Burnell, JE | 1 |
| Kinney, MS | 1 |
| Potts, CM | 1 |
| Weller, SR | 1 |
| Kelley, JB | 1 |
| Hess, ST | 1 |
| Gosse, JA | 1 |
| Breves, JP | 1 |
| Springer-Miller, RH | 1 |
| Chenoweth, DA | 1 |
| Paskavitz, AL | 1 |
| Chang, AYH | 1 |
| Regish, AM | 1 |
| Einarsdottir, IE | 1 |
| Björnsson, BT | 1 |
| McCormick, SD | 1 |
| Villmones, HC | 1 |
| Halland, A | 1 |
| Stenstad, T | 1 |
| Ulvestad, E | 1 |
| Weedon-Fekjær, H | 1 |
| Kommedal, Ø | 1 |
| Nasri, A | 1 |
| Jaleh, B | 1 |
| Khazalpour, S | 1 |
| Nasrollahzadeh, M | 1 |
| Shokouhimehr, M | 1 |
| Ferrario, M | 1 |
| Fenoglio, D | 1 |
| Chantada, A | 1 |
| Guerrero, S | 1 |
| Odetayo, AA | 1 |
| Reible, DD | 1 |
| Acevedo-Mackey, D | 1 |
| Price, C | 1 |
| Thai, L | 1 |
| Li, S | 1 |
| Lin, Y | 1 |
| Wang, D | 1 |
| Zhang, C | 1 |
| Wang, Z | 1 |
| Nie, E | 1 |
| Huang, L | 1 |
| Lu, Y | 1 |
| Gao, X | 1 |
| Akhtar, K | 1 |
| Ye, Q | 1 |
| Wang, H | 1 |
| Yang, Y | 2 |
| Wang, M | 1 |
| Chen, W | 1 |
| Dai, Y | 2 |
| Guo, X | 1 |
| An, Y | 1 |
| Chai, C | 1 |
| Sang, J | 1 |
| Jiang, L | 1 |
| Lu, F | 1 |
| Liu, F | 1 |
| Pu, Y | 1 |
| Zhou, B | 1 |
| Xiang, H | 1 |
| Wu, W | 1 |
| Yin, H | 1 |
| Yue, W | 1 |
| Yin, Y | 1 |
| Li, H | 1 |
| Xu, H | 1 |
| Shaw, L | 1 |
| Shaw, D | 1 |
| Hardisty, M | 1 |
| Britz-McKibbin, P | 1 |
| Verma, DK | 1 |
| Li, W | 1 |
| Wufuer, R | 1 |
| Duo, J | 1 |
| Wang, S | 1 |
| Luo, Y | 1 |
| Zhang, D | 1 |
| Pan, X | 1 |
| Jones, DL | 1 |
| Baluja, MQ | 1 |
| Graham, DW | 1 |
| Corbishley, A | 1 |
| McDonald, JE | 1 |
| Malham, SK | 1 |
| Hillary, LS | 1 |
| Connor, TR | 1 |
| Gaze, WH | 1 |
| Moura, IB | 1 |
| Wilcox, MH | 1 |
| Farkas, K | 1 |
| Liu, X | 1 |
| Wang, J | 2 |
| Shao, X | 1 |
| Liu, J | 1 |
| Ji, X | 1 |
| Tian, G | 1 |
| Zhang, Y | 1 |
| Sun, R | 1 |
| Wang, L | 1 |
| Tuyiringire, D | 1 |
| Li, K | 1 |
| Han, W | 1 |
| Wang, Y | 1 |
| Yan, L | 1 |
| El Hayany, B | 1 |
| El Fels, L | 1 |
| Quénéa, K | 1 |
| Dignac, MF | 1 |
| Rumpel, C | 1 |
| Gupta, VK | 1 |
| Hafidi, M | 1 |
| de Oliveira, BR | 1 |
| Bragança, MLBM | 1 |
| Batalha, MA | 1 |
| Coelho, CCNDS | 1 |
| Bettiol, H | 1 |
| Barbieri, MA | 1 |
| Saraiva, MDCP | 1 |
| Kac, G | 1 |
| da Silva, AAM | 1 |
| Rather, BA | 1 |
| Mir, IR | 1 |
| Sehar, Z | 1 |
| Anjum, NA | 1 |
| Masood, A | 1 |
| Khan, NA | 1 |
| Songsamoe, S | 1 |
| Koomhin, P | 1 |
| Matan, N | 1 |
| Flögel, F | 1 |
| Gärtner, S | 1 |
| Rahimi Khonakdari, M | 1 |
| Rezadoost, H | 1 |
| Heydari, R | 1 |
| Mirjalili, MH | 1 |
| Kebaili, I | 1 |
| Boukhris, I | 1 |
| Sayyed, MI | 1 |
| Tonguc, B | 1 |
| Al-Buriahi, MS | 1 |
| Ganson, KT | 1 |
| Nagata, JM | 1 |
| Cole, MA | 2 |
| Ozgen, C | 1 |
| Strobl, E | 1 |
| Coker, ES | 1 |
| Cavalli, L | 1 |
| Fabrizi, E | 1 |
| Guastella, G | 1 |
| Lippo, E | 1 |
| Parisi, ML | 1 |
| Pontarollo, N | 1 |
| Rizzati, M | 1 |
| Varacca, A | 1 |
| Vergalli, S | 1 |
| Elliott, RJR | 1 |
| Liu, B | 1 |
| Bajelan, S | 1 |
| Bahreini, MS | 1 |
| Asgari, Q | 1 |
| Mikaeili, F | 1 |
| Lakmal, MAC | 1 |
| Ekanayake, EMDNK | 1 |
| Kelum, SHP | 1 |
| Gamage, BD | 1 |
| Jayasundara, JASB | 1 |
| Gautam, S | 1 |
| Gautam, A | 1 |
| Chhetri, S | 1 |
| Bhattarai, U | 1 |
| Acharjee, N | 1 |
| Patel, AK | 1 |
| Lodha, D | 1 |
| Shekhawat, NS | 1 |
| Zeng, W | 1 |
| Dong, A | 1 |
| Chen, X | 1 |
| Cheng, ZL | 1 |
| Campo, M | 1 |
| Amandi, A | 1 |
| Biset, JC | 1 |
| Roviello, V | 1 |
| Roviello, GN | 1 |
| Levran, O | 3 |
| Peles, E | 2 |
| Randesi, M | 2 |
| Correa da Rosa, J | 1 |
| Shen, PH | 1 |
| Rotrosen, J | 1 |
| Adelson, M | 2 |
| Kreek, MJ | 4 |
| Zerdazi, EH | 1 |
| Vorspan, F | 1 |
| Marees, AT | 1 |
| Naccache, F | 1 |
| Lepine, JP | 1 |
| Laplanche, JL | 1 |
| Prince, N | 1 |
| Marie-Claire, C | 1 |
| Bellivier, F | 1 |
| Mouly, S | 1 |
| Bloch, V | 1 |
| van den Brink, W | 1 |
| Blanken, P | 1 |
| van Ree, JM | 1 |
| Ott, J | 2 |
| Mehić-Basara, N | 1 |
| Oruč, L | 1 |
| Kapur-Pojskić, L | 1 |
| Ramić, J | 1 |
| Carlquist, JF | 1 |
| Moody, DE | 1 |
| Knight, S | 1 |
| Johnson, EG | 1 |
| Fang, WB | 1 |
| Huntinghouse, JA | 1 |
| Rollo, JS | 1 |
| Webster, LR | 1 |
| Anderson, JL | 1 |
| Ornoy, A | 1 |
| Finkel-Pekarsky, V | 1 |
| Schreiber, S | 1 |
| Ebstein, PR | 1 |
| Smith, AH | 1 |
| Jensen, KP | 1 |
| Li, J | 1 |
| Nunez, Y | 1 |
| Farrer, LA | 1 |
| Hakonarson, H | 1 |
| Cook-Sather, SD | 1 |
| Kranzler, HR | 1 |
| Gelernter, J | 1 |
| Crettol, S | 1 |
| Besson, J | 1 |
| Croquette-Krokar, M | 1 |
| Hämmig, R | 1 |
| Gothuey, I | 1 |
| Monnat, M | 1 |
| Déglon, JJ | 1 |
| Preisig, M | 1 |
| Eap, CB | 1 |
| Nielsen, DA | 1 |
| Ji, F | 1 |
| Yuferov, V | 1 |
| Ho, A | 1 |
| He, C | 1 |
| Bunten, H | 3 |
| Liang, WJ | 3 |
| Pounder, DJ | 2 |
| Seneviratne, C | 3 |
| Osselton, D | 2 |
| Pounder, D | 1 |
| Osselton, MD | 1 |
| Reed, B | 1 |
| Schlussman, SD | 1 |
| Butelman, ER | 1 |
| Trial | Phase | Enrollment | Study Type | Start Date | Status | ||
|---|---|---|---|---|---|---|---|
| Methadone Monitoring for Insights Into Adverse Events[NCT01191242] | 31 participants (Actual) | Observational | 2010-08-31 | Completed | |||
| [information is prepared from clinicaltrials.gov, extracted Sep-2024] | |||||||
(NCT01191242)
Timeframe: Day 1, Day 7, Day 21
| Intervention | ng/mL (Mean) | ||
|---|---|---|---|
| Day 1 | Day 7 | Day 21 | |
| Methadone Maintenance Observation Group | 3.4 | 13.5 | 18.2 |
(NCT01191242)
Timeframe: Day 1, Day 7, Day 21
| Intervention | ng/mL (Mean) | ||
|---|---|---|---|
| Day 1 | Day 7 | Day 21 | |
| Methadone Maintenance Observation Group | 1.2 | 6.6 | 10.5 |
(NCT01191242)
Timeframe: Day 1, Day 7, Day 21
| Intervention | ng/mL (Mean) | ||
|---|---|---|---|
| Day 1 | Day 7 | Day 21 | |
| Methadone Maintenance Observation Group | 41.8 | 136.6 | 178.6 |
(NCT01191242)
Timeframe: Day 1, Day 7, Day 21
| Intervention | ng/mL (Mean) | ||
|---|---|---|---|
| Day 1 | Day 7 | Day 21 | |
| Methadone Maintenance Observation Group | 23.0 | 78.4 | 105.0 |
(NCT01191242)
Timeframe: Day 1, Day 7, Day 21
| Intervention | ng/mL (Mean) | ||
|---|---|---|---|
| Day 1 | Day 7 | Day 21 | |
| Methadone Maintenance Observation Group | 65.6 | 178.8 | 215.1 |
(NCT01191242)
Timeframe: Day 1, Day 7, Day 21
| Intervention | ng/mL (Mean) | ||
|---|---|---|---|
| Day 1 | Day 7 | Day 21 | |
| Methadone Maintenance Observation Group | 32.2 | 84.2 | 106.1 |
(NCT01191242)
Timeframe: Day 1, Day 7, Day 21
| Intervention | ng/mL (Mean) | ||
|---|---|---|---|
| Day 1 | Day 7 | Day 21 | |
| Methadone Maintenance Observation Group | 5.8 | 20.6 | 30.3 |
(NCT01191242)
Timeframe: Day 1, Day 7, Day 21
| Intervention | ng/mL (Mean) | ||
|---|---|---|---|
| Day 1 | Day 7 | Day 21 | |
| Methadone Maintenance Observation Group | 3.8 | 9.1 | 13.7 |
(NCT01191242)
Timeframe: Day 1, Day 7, Day 21
| Intervention | ng/mL (Mean) | ||
|---|---|---|---|
| Day 1 | Day 7 | Day 21 | |
| Methadone Maintenance Observation Group | 11.0 | 39.8 | 45.3 |
(NCT01191242)
Timeframe: Day 1, Day 7, Day 21
| Intervention | ng/mL (Mean) | ||
|---|---|---|---|
| Day 1 | Day 7 | Day 21 | |
| Methadone Maintenance Observation Group | 4.8 | 17.7 | 26.6 |
(NCT01191242)
Timeframe: Day 1, Day 7, Day 21
| Intervention | ng/mL (Mean) | ||
|---|---|---|---|
| Day 1 | Day 7 | Day 21 | |
| Methadone Maintenance Observation Group | 107.3 | 315.4 | 362.2 |
(NCT01191242)
Timeframe: Day 1, Day 7, Day 21
| Intervention | ng/mL (Mean) | ||
|---|---|---|---|
| Day 1 | Day 7 | Day 21 | |
| Methadone Maintenance Observation Group | 53.0 | 162.6 | 211.1 |
2 reviews available for methadone and Genetic Predisposition
| Article | Year |
|---|---|
Topics: Acyclic Monoterpenes; Adipose Tissue; Adolescent; Adult; Aged; Aged, 80 and over; Air Pollutants; Ai | 2020 |
Opiate addiction and cocaine addiction: underlying molecular neurobiology and genetics.
Topics: Animals; Basal Ganglia; Cocaine-Related Disorders; Dopamine; Dopaminergic Neurons; Gene Expression R | 2012 |
1 trial available for methadone and Genetic Predisposition
| Article | Year |
|---|---|
Association of dopamine and opioid receptor genetic polymorphisms with response to methadone maintenance treatment.
Topics: Adult; Analysis of Variance; Female; Gene Frequency; Genetic Predisposition to Disease; Genotype; He | 2008 |
17 other studies available for methadone and Genetic Predisposition
| Article | Year |
|---|---|
κ Opioid Receptor 1 Single Nucleotide Polymorphisms were Associated with the Methadone Dosage.
Topics: Adult; Asian People; Biomarkers, Pharmacological; Case-Control Studies; China; Dose-Response Relatio | 2020 |
Association of
Topics: Adult; Analgesics, Opioid; Asian People; Biomarkers, Pharmacological; Case-Control Studies; Catechol | 2020 |
Genetic variants in NECTIN4 encoding an adhesion molecule are associated with continued opioid use.
Topics: Adult; Analgesics, Opioid; Cell Adhesion Molecules; Female; Genetic Predisposition to Disease; Genom | 2020 |
Association studies of dopamine synthesis and metabolism genes with multiple phenotypes of heroin dependence.
Topics: Adult; Dopamine; Euphoria; Female; Gene-Environment Interaction; Genetic Association Studies; Geneti | 2020 |
APBB2 is associated with amphetamine use and plasma beta-amyloids in patients receiving methadone maintenance treatment.
Topics: Adaptor Proteins, Signal Transducing; Adult; Amphetamine-Related Disorders; Amyloid beta-Peptides; B | 2018 |
Genetic variations in genes of the stress response pathway are associated with prolonged abstinence from heroin.
Topics: Carrier Proteins; Female; Genetic Predisposition to Disease; Genotype; Heroin; Heroin Dependence; Hu | 2018 |
GRK5 Is Associated with the Regulation of Methadone Dosage in Heroin Dependence.
Topics: Adult; Case-Control Studies; Cross-Sectional Studies; Female; G-Protein-Coupled Receptor Kinase 5; G | 2018 |
QT length during methadone maintenance treatment: gene × dose interaction.
Topics: Adult; Dose-Response Relationship, Drug; Electrocardiography; Female; Genetic Predisposition to Dise | 2019 |
VMAT2 gene (
Topics: Adult; Analgesics, Opioid; Case-Control Studies; Female; Genetic Predisposition to Disease; Heroin D | 2019 |
Association of dopamine receptor gene polymorphism and psychological personality traits in liability for opioid addiction.
Topics: Bosnia and Herzegovina; Case-Control Studies; Female; Genetic Predisposition to Disease; Genotype; H | 2013 |
A Possible Mechanistic Link Between the CYP2C19 Genotype, the Methadone Metabolite Ethylidene-1,5-Dimethyl-3,3-Diphenylpyrrolidene (EDDP), and Methadone-Induced Corrected QT Interval Prolongation in a Pilot Study.
Topics: Adult; Alleles; Arrhythmias, Cardiac; Cytochrome P-450 CYP2C19; Electrocardiography; Female; Gene Fr | 2015 |
ADHD risk alleles associated with opiate addiction: study of addicted parents and their children.
Topics: Adolescent; Alleles; Attention Deficit Disorder with Hyperactivity; Child; Child, Preschool; Female; | 2016 |
Genome-wide association study of therapeutic opioid dosing identifies a novel locus upstream of OPRM1.
Topics: Adult; Alleles; Analgesics, Opioid; Black or African American; Dose-Response Relationship, Drug; Fem | 2017 |
Genome-wide association study identifies genes that may contribute to risk for developing heroin addiction.
Topics: Case-Control Studies; Chromosome Mapping; Genetic Predisposition to Disease; Genome-Wide Association | 2010 |
OPRM1 and CYP2B6 gene variants as risk factors in methadone-related deaths.
Topics: Adolescent; Adult; Alleles; Analgesics, Opioid; Aryl Hydrocarbon Hydroxylases; Cytochrome P-450 CYP2 | 2010 |
CYP2B6 and OPRM1 gene variations predict methadone-related deaths.
Topics: Alleles; Aryl Hydrocarbon Hydroxylases; Benzodiazepines; Cause of Death; Cytochrome P-450 CYP2B6; Dr | 2011 |
Interindividual variability in the prevalence of OPRM1 and CYP2B6 gene variations may identify drug-susceptible populations.
Topics: Adolescent; Adult; Age Factors; Aryl Hydrocarbon Hydroxylases; Case-Control Studies; Cytochrome P-45 | 2011 |