Cross sectional analysis of an addiction consultation service, substance co-use patterns, and receipt of medications for opioid use disorder during hospitalization

被引:1
|
作者
Shearer, Riley D. [1 ,2 ]
Bart, Gavin [3 ]
Beebe, Timothy J. [1 ]
Virnig, Beth A. [4 ]
Shippee, Nathan D. [1 ]
Winkelman, Tyler N. A. [2 ,5 ]
机构
[1] Univ Minnesota, Sch Publ Hlth, 420 Delaware St SE,Mayo Bldg B681, Minneapolis, MN 55455 USA
[2] Hennepin Healthcare Res Inst, Hlth Homelessness & Criminal Justice Lab, 701 Pk Ave,Suite PP7-700, Minneapolis, MN 55415 USA
[3] Hennepin Healthcare, Div Addict Med, Dept Med, 900 S 8th St, Minneapolis, MN 55415 USA
[4] Univ Florida, Coll Publ Hlth & Hlth Profess, 1225 Ctr Dr, Gainesville, FL 32611 USA
[5] Hennepin Healthcare, Dept Med, Div Gen Internal Med, 716 S 7th St, Minneapolis, MN 55415 USA
来源
JOURNAL OF SUBSTANCE USE & ADDICTION TREATMENT | 2024年 / 167卷
基金
美国国家卫生研究院;
关键词
Addiction consultation service; Medication for opioid use disorder; Opioid; Methamphetamine; Polysubstance use; POLYSUBSTANCE-USE; METHAMPHETAMINE; INVOLVEMENT;
D O I
10.1016/j.josat.2024.209505
中图分类号
B849 [应用心理学];
学科分类号
040203 ;
摘要
Introduction: Despite effective medications for opioid use disorder (MOUD), treatment engagement remains low. As the overdose crisis is increasingly characterized by opioids co-used with other substances, it is important to understand whether existing models effectively support treatment for patients who use multiple substances. Hospital-based addiction consultation services (ACS) have shown promise at increasing MOUD initiation and treatment engagement, but the effectiveness for patients with specific co-use patterns remains unknown. Methods: Using 2016-2023 admissions data from a large safety net hospital, we estimated a random-effects logistic regression model to determine whether specific co-use (methamphetamine, cocaine, alcohol, sedative, and other) moderated the effect of being seen by ACS on the receipt of MOUD. Adjusting for patient sociodemographic, health, and admission characteristics we estimated the proportion of patients who received MOUD across specific co-use groups. Results: Of 7679 total admissions indicating opioid use, of which 5266 (68.6 %) indicated co-use of one or more substances and 2387 (31.1 %) were seen by the ACS. Among admissions not seen by the ACS, a smaller proportion of admissions with any co-use received MOUD (23.5 %; 95 % CI: 21.9-25.1) compared to admissions with opioid use alone (34.0 %; 95 % CI: 31.9-36.1). However, among admissions seen by the ACS a similar proportion of admissions with any co-use received MOUD (57.8 %; 95 % CI: 55.5-60.1) as admissions with opioid use alone (56.2 %; 95 % CI: 52.2-60.2). The increase in proportion of admissions receiving MOUD associated with being seen by the ACS was larger for admissions with methamphetamine (38.6 percentage points; 95 % CI: 34.6-42.6) or cannabis co-use (39.0 percentage points; 95 % CI: 32.9-45.1) compared to admissions without methamphetamine (25.7 percentage points; 95 % CI: 22.2-29.2) or cannabis co-use (29.1 percentage points; 95 % CI: 26.1-32.1). Conclusions: The ACS is an effective hospital-based treatment model for increasing the proportion of admissions which receive MOUD. This study shows that ACSs are also able to support increased receipt of MOUD for patients who use other substances in addition to opioids. Future research is needed to further understand what transition strategies best support treatment linkage for patients who use multiple substances.
引用
收藏
页数:7
相关论文
共 8 条
  • [1] Associations Between Polysubstance Use Patterns and Receipt of Medications for Opioid Use Disorder Among Adults in Treatment for Opioid Use Disorder
    Ford, Becky R.
    Bart, Gavin
    Grahan, Brian
    Shearer, Riley D.
    Winkelman, Tyler N. A.
    JOURNAL OF ADDICTION MEDICINE, 2021, 15 (02) : 159 - 162
  • [2] Associations Between Distinct Co-occurring Substance Use Disorders and Receipt of Medications for Opioid Use Disorder in the Veterans Health Administration
    Frost, Madeline C.
    Hawkins, Eric J.
    Glass, Joseph E.
    Hallgren, Kevin A.
    Williams, Emily C.
    JOURNAL OF ADDICTION MEDICINE, 2023, 17 (03) : 278 - 285
  • [3] Patterns of substance use before and after hospitalization among patients seen by an inpatient addiction consult service: A latent transition analysis
    King, Caroline
    Nicolaidis, Christina
    Korthuis, P. Todd
    Priest, Kelsey C.
    Englander, Honora
    JOURNAL OF SUBSTANCE ABUSE TREATMENT, 2020, 118
  • [4] Access to medications for opioid use disorder for methamphetamine and opioid co-users between 2015-2020: a national analysis
    Ramdin, Christine
    Nelson, Lewis
    CLINICAL TOXICOLOGY, 2023, 61 : 46 - 47
  • [5] Experiences with an addiction consultation service on care provided to hospitalized patients with opioid use disorder: a qualitative study of hospitalists, nurses, pharmacists, and social workers
    Callister, Catherine
    Lockhart, Steven
    Holtrop, Jodi Summers
    Hoover, Kaitlyn
    Calcaterra, Susan L.
    SUBSTANCE ABUSE, 2022, 43 (01) : 615 - 622
  • [6] A cross-sectional study of differences in medication for opioid use disorder receipt among pregnant people enrolled in Medicaid in Oregon, United States
    Cioffi, Camille C.
    Acevedo, Ann Martinez
    Cohen, Deborah J.
    Kaufman, Menolly R.
    Parker, Kea
    Terplan, Mishka
    Lindner, Stephan R.
    ADDICTION, 2025,
  • [7] Co-use of cannabis and prescription opioids in adults in the USA: a population-based, cross-sectional analysis of the NHANES from 2009 to 2018
    Diep, Calvin
    Goel, Akash
    Wijeysundera, Duminda N.
    Clarke, Hance
    Ladha, Karim S.
    REGIONAL ANESTHESIA AND PAIN MEDICINE, 2023, 48 (04) : 145 - 149
  • [8] Cross-ancestry meta-analysis of opioid use disorder uncovers novel loci with predominant effects in brain regions associated with addiction
    Kember, Rachel L.
    Vickers-Smith, Rachel
    Xu, Heng
    Toikumo, Sylvanus
    Niarchou, Maria
    Zhou, Hang
    Hartwell, Emily E.
    Crist, Richard C.
    Rentsch, Christopher T.
    Davis, Lea K.
    Justice, Amy C.
    Sanchez-Roige, Sandra
    Kampman, Kyle M.
    Gelernter, Joel
    Kranzler, Henry R.
    NATURE NEUROSCIENCE, 2022, 25 (10) : 1279 - +