Subtypes of patients with opioid use disorder in methadone maintenance treatment: A pathways model analysis

References

• Afshar, M., Joyce, C., Dligach, D., Sharma, B., Kania, R., Xie, M., Swope, K., Salisbury-Afshar, E., & Karnik, N. S. (2019). Subtypes in patients with opioid misuse: A prognostic enrichment strategy using electronic health record data in hospitalized patients. PLoS ONE, 14(7), e0219717. https://doi.org/10.1371/journal.pone.0219717
   PubMed Web of Science ®Google Scholar
• Antony, M. M., Bieling, P. J., Cox, B. J., Enns, M. W., & Swinson, R. P. (1998). Psychometric properties of the 42-item and 21-item versions of the Depression Anxiety Stress Scales in clinical groups and a community sample. Psychological Assessment, 10(2), 176–181. https://doi.org/10.1037/1040-3590.10.2.176
   Web of Science ®Google Scholar
• Asparouhov, T., & Muthén, B. (2013). Appendices for auxiliary variables in mixture modeling: 3-step approaches using Mplus. MPlus User’s Guide. http://www.statmodel.com/download/AppendicesOct28.pdf
   Google Scholar
• Bell, J., & Strang, J. (2020). Medication treatment of opioid use disorder. Biological Psychiatry, 87(1), 82–88. https://doi.org/10.1016/j.biopsych.2019.06.020
   PubMed Web of Science ®Google Scholar
• Bernaards, C. A., Belin, T. R., & Schafer, J. L. (2007). Robustness of a multivariate normal approximation for imputation of incomplete binary data. Statistics in Medicine, 26(6), 1368–1382. https://doi.org/10.1002/sim.2619
   PubMed Web of Science ®Google Scholar
• Bernstein, D. P., Stein, J. A., Newcomb, M. D., Walker, E., Pogge, D., Ahluvalia, T., Stokes, J., Handelsman, L., Medrano, M., Desmond, D., & Zule, W. (2003). Development and validation of a brief screening version of the Childhood Trauma Questionnaire. Child Abuse & Neglect, 27(2), 169–190. https://doi.org/10.1016/S0145-2134(02)00541-0
   PubMed Web of Science ®Google Scholar
• Blaszczynski, A., & Nower, L. (2002). A pathways model of problem and pathological gambling. Addiction, 97(5), 487–499. https://doi.org/10.1046/j.1360-0443.2002.00015.x
   PubMed Web of Science ®Google Scholar
• Bonnaire, C., Bungener, C., & Varescon, I. (2009). Subtypes of French pathological gamblers: Comparison of sensation seeking, alexithymia and depression scores. Journal of Gambling Studies, 25(4), 455–471. https://doi.org/10.1007/s10899-009-9142-z
   PubMed Web of Science ®Google Scholar
• Brown, S., Tracy, E. M., Jun, M., Park, H., & Min, M. O. (2015). Personal network recovery enablers and relapse risks for women with substance dependence. Qualitative Health Research, 25(3), 371–385. https://doi.org/10.1177/1049732314551055
   PubMed Web of Science ®Google Scholar
• Bush, K., Kivlahan, D. R., McDonell, M. B., Fihn, S. D., & Bradley, K. A. (1998). The AUDIT alcohol consumption questions (AUDIT-C): An effective brief screening test for problem drinking. Archives of Internal Medicine, 158(16), 1789–1795. https://doi.org/10.1001/archinte.158.16.1789
   PubMed Web of Science ®Google Scholar
• Carr, M. M., Ellis, J. D., Saules, K. K., Page, J. L., Staples, A., & Ledgerwood, D.M. (2021). Substance use, gambling, binge‐eating, and hypersexuality symptoms among patients receiving opioid agonist therapies. The American Journal on Addictions. https://doi.org/10.1111/ajad.13149
   Google Scholar
• Cloninger, C. R., Sigvardsson, S., & Bohman, M. (1996). Type I and type II alcoholism: An update. Alcohol Health and Research World, 20(1), 18–23. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6876531/
   PubMed Web of Science ®Google Scholar
• Cooper, M. L., Russell, M., Skinner, J. B., & Windle, M. (1992). Development and validation of a three-dimensional measure of drinking motives. Psychological Assessment, 4(2), 123–132. https://doi.org/10.1037/1040-3590.4.2.123
   Google Scholar
• Crotty, K., Freedman, K. I., & Kampman, K. M. (2020). Executive summary of the focused update of the ASAM national practice guideline for the treatment of opioid use disorder. Journal of Addiction Medicine, 14(2), 99–112. https://doi.org/10.1097/ADM.0000000000000635
   PubMed Web of Science ®Google Scholar
• Davis, C. G., Wohl, M. J. A., & Verberg, N. (2007). Profiles of posttraumatic growth following an unjust loss. Death Studies, 31(8), 693–712. https://doi.org/10.1080/07481180701490578
   PubMed Web of Science ®Google Scholar
• Degenhardt, L., Bucello, C., Mathers, B., Briegleb, C., Ali, H., Hickman, M., & McLaren, J. (2011). Mortality among regular or dependent users of heroin and other opioids: A systematic review and meta-analysis of cohort studies. Addiction, 106(1), 32–51. https://doi.org/10.1111/j.1360-0443.2010.03140.x
   PubMed Web of Science ®Google Scholar
• Derogatis, L. R., Lipman, R. S., Rickels, K., Uhlenhuth, E. H., & Covi, L. (1974). The Hopkins Symptom Checklist (HSCL): A self-report symptom inventory. Behavioral Science, 19(1), 1–15. https://doi.org/10.1002/bs.3830190102
   PubMedGoogle Scholar
• Du Prel, J. B., Hommel, G., Röhrig, B., & Blettner, M. (2009). Confidence interval or p-value? Part 4 of a series on evaluation of scientific publications. Deutsches Ärzteblatt International, 106(19), 335–339. https://doi.org/10.3238/arztebl.2009.0335
   PubMed Web of Science ®Google Scholar
• Fong, C., Matusow, H., Cleland, C. M., & Rosenblum, A. (2015). Characteristics of non-opioid substance misusers among patients enrolling in opioid treatment programs: A latent class analysis. Journal of Addictive Diseases, 34(2–3), 141–150. https://doi.org/10.1080/10550887.2015.1059226
   PubMed Web of Science ®Google Scholar
• Gossop, M., Darke, S., Griffiths, P., Hando, J., Powis, B., Hall, W., & Strang, J. (1995). The Severity of Dependence Scale (SDS): Psychometric properties of the SDS in English and Australian samples of heroin, cocaine and amphetamine users. Addiction, 90(5), 607–614. https://doi.org/10.1046/j.1360-0443.1995.9056072.x
   PubMed Web of Science ®Google Scholar
• Greenwald, M. K., Steinmiller, C. L., Śliwerska, E., Lundahl, L., & Burmeister, M. (2013). BDNF Val 66 Met genotype is associated with drug-seeking phenotypes in heroin-dependent individuals: A pilot study. Addiction Biology, 18(5), 836–845. https://doi.org/10.1111/j.1369-1600.2011.00431.x
   PubMed Web of Science ®Google Scholar
• Gryczynski, J., Jaffe, J. H., Schwartz, R. P., Dušek, K. A., Gugsa, N., Monroe, C. L., O’Grady, K. E., Olsen, Y. K., & Mitchell, S. G. (2013). Patient perspectives on choosing buprenorphine over methadone in an urban, equal-access system. The American Journal on Addictions, 22(3), 285–291. https://doi.org/10.1111/j.1521-0391.2012.12004.x
   PubMed Web of Science ®Google Scholar
• Gupta, R., Nower, L., Derevensky, J. L., Blaszczynski, A., Faregh, N., & Temcheff, C. (2013). Problem gambling in adolescents: An examination of the Pathways Model. Journal of Gambling Studies, 29(3), 575–588. https://doi.org/10.1007/s10899-012-9322-0
   PubMed Web of Science ®Google Scholar
• Hansen, H. B., Siegel, C. E., Case, B. G., Bertollo, D. N., DiRocco, D., & Galanter, M. (2013). Variation in use of buprenorphine and methadone treatment by racial, ethnic, and income characteristics of residential social areas in New York City. The Journal of Behavioral Health Services & Research, 40(3), 367–377. https://doi.org/10.1007/s11414-013-9341-3
   PubMed Web of Science ®Google Scholar
• Himelhoch, S. S., Miles-Mclean, H., Medoff, D., Kreyenbuhl, J., Rugle, L., Brownley, J., Bailey-Kloch, M., Potts, W., & Welsh, C. (2016). Twelve-month prevalence of DSM-5 gambling disorder and associated gambling behaviors among those receiving methadone maintenance. Journal of Gambling Studies, 32(1), 1–10. https://doi.org/10.1007/s10899-015-9524-3
   PubMed Web of Science ®Google Scholar
• Hughes, M. E., Waite, L. J., Hawkley, L. C., & Cacioppo, J. T. (2004). A short scale for measuring loneliness in large surveys: Results from two population-based studies. Research on Aging, 26(6), 655–672. https://doi.org/10.1177/0164027504268574
   PubMed Web of Science ®Google Scholar
• Hum, S., & Carr, S. M. (2018). Testing the emotional vulnerability pathway to problem gambling in culturally diverse university students. Journal of Gambling Studies, 34(3), 915–927. https://doi.org/10.1007/s10899-018-9753-3
   PubMed Web of Science ®Google Scholar
• Jacobs, D. F. (1986). A general theory of addictions: A new theoretical model. Journal of Gambling Behavior, 2(1), 15–31. https://doi.org/10.1007/BF01019931
   Google Scholar
• Jones, C. M., & McCance-Katz, E. F. (2019). Co-occurring substance use and mental disorders among adults with opioid use disorder. Drug and Alcohol Dependence, 197, 78–82. https://doi.org/10.1016/j.drugalcdep.2018.12.030
   PubMed Web of Science ®Google Scholar
• Kaye, S., & Darke, S. (2002). Determining a diagnostic cut-off on the Severity of Dependence Scale (SDS) for cocaine dependence. Addiction, 97(6), 727–731. https://doi.org/10.1046/j.1360-0443.2002.00121.x
   PubMed Web of Science ®Google Scholar
• Kim, H. S., Hodgins, D. C., Kim, B., & Wild, T. C. (2020). Transdiagnostic or disorder specific? Indicators of substance and behavioral addictions nominated by people with lived experience. Journal of Clinical Medicine, 9(2), 334. https://doi.org/10.3390/jcm9020334
   PubMed Web of Science ®Google Scholar
• Kumar, N., Oles, W., Howell, B. A., Janmohamed, K., Lee, S. T., Funaro, M. C., O’Connor, P. G., & Alexander, M. (2021). The role of social network support in treatment outcomes for medication for opioid use disorder: A systematic review. Journal of Substance Abuse Treatment, 127, 108367. https://doi.org/10.1016/j.jsat.2021.108367
   PubMed Web of Science ®Google Scholar
• Ledgerwood, D. M., & Petry, N. M. (2010). Subtyping pathological gamblers based on impulsivity, depression, and anxiety. Psychology of Addictive Behaviors, 24(4), 680–688. https://doi.org/10.1037/a0019906
   PubMed Web of Science ®Google Scholar
• Lister, J. J., Brown, S., Greenwald, M. K., & Ledgerwood, D. M. (2019). Gender-specific predictors of methadone treatment outcomes among African Americans at an urban clinic. Substance Abuse, 40(2), 185–193. https://doi.org/10.1080/08897077.2018.1547810
   PubMed Web of Science ®Google Scholar
• Lister, J. J., Greenwald, M. K., & Ledgerwood, D. M. (2017). Baseline risk factors for drug use among African-American patients during first-month induction/stabilization on methadone. Journal of Substance Abuse Treatment, 78, 15–21. https://doi.org/10.1016/j.jsat.2017.04.007
   PubMed Web of Science ®Google Scholar
• Mader, J., Christensen, D. R., & Williams, R. J. (2019). An evaluation of the Pathways Model using the Quinte Longitudinal dataset. International Gambling Studies, 19(3), 417–431. https://doi.org/10.1080/14459795.2019.1602158
   Web of Science ®Google Scholar
• Maremmani, A. G. I., Gazzarrini, D., Fiorin, A., Cingano, V., Bellio, G., Perugi, G., & Maremmani, I. (2018). Psychopathology of addiction: Can the SCL90-based five-dimensional structure differentiate heroin use disorder from a non-substance-related addictive disorder such as gambling disorder? Annals of General Psychiatry, 17(1), 3. https://doi.org/10.1186/s12991-018-0173-7
   PubMedGoogle Scholar
• Maremmani, A. G. I., Pani, P. P., Trogu, E., Vigna-Taglianti, F., Mathis, F., Diecidue, R., Kirchmayer, U., Amato, L., Ghibaudi, J., Camposeragna, A., Saponaro, A., Davoli, M., Faggiano, F., & Maremmani, I. (2016). The impact of psychopathological subtypes on retention rate of patients with substance use disorder entering residential therapeutic community treatment. Annals of General Psychiatry, 15(1), 29. https://doi.org/10.1186/s12991-016-0119-x
   PubMedGoogle Scholar
• Maremmani, A. G. I., Rovai, L., Pani, P. P., & Maremmani, I. (2012). Heroin addicts’ psychopathological subtypes: Correlations with the natural history of illness. Heroin Addiction and Related Clinical Problems, 14(1), 11–22. https://idhdp.com/mediaimport/14553/heroinaddict1412012.pdf#page=13
   Web of Science ®Google Scholar
• Maremmani, I., Pani, P. P., Pacini, M., Bizzarri, J. V., Trogu, E., Maremmani, A. G.I., Gerra, G., Perugi, G., & Dell’Osso, L. (2010). Subtyping patients with heroin addiction at treatment entry: Factor derived from the self-report symptom inventory (SCL-90). Annals of General Psychiatry, 9(1), 15. https://doi.org/10.1186/1744-859X-9-15
   PubMedGoogle Scholar
• Mattson, C. L., Tanz, L. J., Quinn, K., Kariisa, M., Patel, P., & Davis, N. L. (2021). Trends and geographic patterns in drug and synthetic opioid overdose deaths—United States, 2013–2019. Morbidity and Mortality Weekly Report, 70(6), 202–207. https://doi.org/10.15585/mmwr.mm7006a4
   PubMed Web of Science ®Google Scholar
• Moon, M., Lister, J. J., Milosevic, A., & Ledgerwood, D. M. (2017). Subtyping non-treatment-seeking problem gamblers using the Pathways Model. Journal of Gambling Studies, 33(3), 841–853. https://doi.org/10.1007/s10899-016-9658-y
   PubMed Web of Science ®Google Scholar
• Moses, T. E. H., Woodcock, E. A., Lister, J. J., Lundahl, L. H., & Greenwald, M. K. (2018). Developing a scale of domains of negative consequences of chronic heroin use. Addictive Behaviors, 77, 260–266. https://doi.org/10.1016/j.addbeh.2017.07.027
   PubMed Web of Science ®Google Scholar
• Musil, C. M., Warner, C. B., Yobas, P. K., & Jones, S. L. (2002). A comparison of imputation techniques for handling missing data. Western Journal of Nursing Research, 24(7), 815–829. https://doi.org/10.1177/019394502762477004
   PubMed Web of Science ®Google Scholar
• Nower, L., & Blaszczynski, A. (2017). Development and validation of the Gambling Pathways Questionnaire (GPQ). Psychology of Addictive Behaviors, 31(1), 95–109. https://doi.org/10.1037/adb0000234
   PubMed Web of Science ®Google Scholar
• Nower, L., Martins, S. S., Lin, K. H., & Blanco, C. (2013). Subtypes of disordered gamblers: Results from the National Epidemiologic Survey on Alcohol and Related Conditions. Addiction, 108(4), 789–798. https://doi.org/10.1111/add.12012
   PubMed Web of Science ®Google Scholar
• Prunas A, Sarno I, Preti E, Madeddu F and Perugini M. (2012). Psychometric properties of the Italian version of the SCL-90-R: A study on a large community sample. European Psychiatry, 27(8), 591–597. 10.1016/j.eurpsy.2010.12.006
   PubMed Web of Science ®Google Scholar
• Richters, J. E., & Martinez, P. (1992). Things I Have Seen and Heard: A structured interview for assessing young children’s violence exposure. National Institute of Mental Health.
   Google Scholar
• Shaffer, H. J., LaPlante, D. A., LaBrie, R. A., Kidman, R. C., Donato, A. N., & Stanton, M. V. (2004). Toward a syndrome model of addiction: Multiple expressions, common etiology. Harvard Review of Psychiatry, 12(6), 367–374. https://doi.org/10.1080/10673220490905705
   PubMed Web of Science ®Google Scholar
• Spinella, M. (2007). Normative data and a short form of the Barratt Impulsiveness Scale. International Journal of Neuroscience, 117(3), 359–368. https://doi.org/10.1080/00207450600588881
   PubMed Web of Science ®Google Scholar
• Steger, M. F., Frazier, P., Oishi, S., & Kaler, M. (2006). The Meaning in Life Questionnaire: Assessing the presence of and search for meaning in life. Journal of Counseling Psychology, 53(1), 80–93. https://doi.org/10.1037/0022-0167.53.1.80
   Web of Science ®Google Scholar
• Straus, M. A., Hamby, S. L., Boney-McCoy, S., & Sugarman, D. B. (1996). The Revised Conflict Tactics Scales (CTS2): Development and preliminary psychometric data. Journal of Family Issues, 17(3), 283–316. https://doi.org/10.1177/019251396017003001
   Web of Science ®Google Scholar
• Tirachaimongkol, L. C., Jackson, A. C., & Tomnay, J. E. (2010). Pathways to problem gambling in seniors. Journal of Gerontological Social Work, 53(6), 531–546. https://doi.org/10.1080/01634372.2010.487817
   PubMedGoogle Scholar
• Toce-Gerstein, M., Gerstein, D. R., & Volberg, R. A. (2009). The NODS–CLiP: A rapid screen for adult pathological and problem gambling. Journal of Gambling Studies, 25(4), 541–555. https://doi.org/10.1007/s10899-009-9135-y
   PubMed Web of Science ®Google Scholar
• Valleur, M., Codina, I., Vénisse, J. L., Romo, L., Magalon, D., Fatséas, M., & Challet-Bouju, G. (2016). Towards a validation of the three pathways model of pathological gambling. Journal of Gambling Studies, 32(2), 757–771. https://doi.org/10.1007/s10899-015-9545-y
   PubMed Web of Science ®Google Scholar
• Volkow, N. D., Frieden, T. R., Hyde, P. S., & Cha, S. S. (2014). Medication-assisted therapies—Tackling the opioid-overdose epidemic. New England Journal of Medicine, 370(22), 2063–2066. https://doi.org/10.1056/NEJMp1402780
   PubMed Web of Science ®Google Scholar
• Wakeman, S. E., Larochelle, M. R., Ameli, O., Chaisson, C. E., McPheeters, J. T., Crown, W. H., Azocar, F., & Sanghavi, D. M. (2020). Comparative effectiveness of different treatment pathways for opioid use disorder. JAMA Network Open, 3(2), e1920622. https://doi.org/10.1001/jamanetworkopen.2019.20622
   PubMed Web of Science ®Google Scholar