HIVSNSUSNCT07414459
Combining Social Network Strategies and Routine Substance Use Screening
A study testing Substance use disorder screening and Social network intervention in people with HIV and Substance Use Disorder (SUD), run by University of California, San Diego at 1 site in United States.
Trial summary
This study aims to improve health care for people who may have HIV or substance use disorders by bringing two services to a large community health center in Chicago. First, the clinic will begin offering routine screening for substance use to all patients. Read more about this study
- Who is it for?
- Ages 18 years and older, men only
- Conditions the study is for
- HIV, Substance Use Disorder (SUD)
- What is being tested?
- Substance use disorder screening and Social network intervention
- Type of treatment
- Lifestyle or therapy programme
- Could I receive a placebo?
- No, everyone receives an active treatment
- How many people
- 500 participants
- Where
- 1 siteUnited States
- Study dates
- 31 Jul 2026to Apr 2029
- Phase
- Interventional
- Are there results?
- Not yet: the study is under way
Key requirements
Who can take part, as listed by the sponsor. Only the study team can confirm whether you are eligible, so take this list to your doctor.
- Ages 18 years and older
- Men only
- No healthy volunteers
- Adult, Older adult
Who may be able to join
- Assigned male sex at birth
- Has sex with men
- Speaks English or Spanish
Who cannot join
- Institutionalized individuals
- Women
- Non-Hispanic whites
Trial locations and contacts
1 site in 1 country. Contact the study team or a site near you to ask about taking part.
United States1 site
Howard Brown Health
Chicago, Illinois, 60657
Aniruddha (Anu) Hazra, MD, 773-388-1600, ahazra2@bsd.uchicago.edu
About this study
This study aims to improve health care for people who may have HIV or substance use disorders by bringing two services to a large community health center in Chicago. First, the clinic will begin offering routine screening for substance use to all patients. Second, the study will offer a social network-based program that helps people identify friends or partners who may need support and link them to care. The goal is to help more people learn their HIV status, reduce HIV levels in the community, and connect people with substance use treatment when needed. The study will also look at how well these services can be added into everyday clinic practice and what is needed to keep them going over time.
Read the detailed description
This project will take place in a network of federally qualified health centers that serves communities in Chicago that experience some of the highest rates of new HIV infections. The study has two main parts: Routine Substance Use Screening and a Social Network Intervention (SNI).
Routine screening at the clinics will introduce a consistent, standardized way to ask patients about substance use during regular visits. Patients who screen positive will be offered help, referrals, and follow-up services.
The social network intervention asks patients to think about people in their social networks (such as partners, friends, or peers) who may have untreated HIV, may have fallen out of care, or may have substance use concerns. Participants will receive support and tools to help connect people in their network to HIV testing, care, and treatment or substance use services at these clinics.
Together, these activities aim to:
- Identify people who have HIV but are not in care
- Reduce HIV viral load levels in the community
- Identify people with substance use disorders and link them to treatment
- Improve access to supportive services in the community
The study will also examine how easy or hard it is for clinics to use these two strategies in everyday practice. Researchers will gather feedback from clinic staff and patients to understand what helps or gets in the way of using these services in the long term. The goal is to create a package of tools and processes that other clinics can adopt in the future.
- Conditions
- HIV, Substance Use Disorder (SUD)
- Being tested
- Substance use disorder screening, Social network intervention
- Keywords
- social networks, HIV, substance use disorder, HIV testing, HIV prevention, harm reduction, social stigma, programs, testing, treatment, mental health, community clinic, intervention, color, Chicago, drug abuse, addiction
- Medical subject headings
- Substance-Related Disorders, Harm Reduction, Social Stigma, Psychological Well-Being, Behavior, Addictive
What participants receive
What participants receive. In a randomised study each person is assigned to one group by chance.
Substance use disorder screeningBehavioural
Implement a routine SUD screening at the FQHC.
Social network interventionBehavioural
Social network intervention (SNI) to identify individuals who are viremic, have SUD, or both and link them to harm reduction and HIV continuum of care services. There are three main activities that make up the SNI: 1) recruiting, screening, and interviewing "index participants"; 2) training the index participants to recruit others; 3) screening and interviewing persons who present a valid recruitment voucher given to them by an index participant.
| Study group | Role | What they receive |
|---|---|---|
| Routine Substance Use disorder (SUD) screening | Active comparator | A routine screener for substance use disorder (SUD) will be added to the standard of care at HBH regardless of HIV status or demographic characteristics. Receives: Behavioral: Substance use disorder screening |
| Social Network Intervention (SNI) | Experimental | In addition to the routine screener for SUD, this arm will receive the Social Network Intervention (SNI), which include the following elements:
1. recruiting, screening, and interviewing "index participants";
2. training the index participants to recruit others;
3. screening and interviewing persons who present a valid recruitment voucher given to them by an index participant; and
4. training recruits to recruit others. Receives: Behavioral: Substance use disorder screening; Behavioral: Social network intervention |
What is being measured
The primary outcome is the main question the study is designed to answer.
Rate of Substance Use Disorder (SUD) Detection
The number and proportion of patients who screen positive for substance use disorder using the routine SUD screening tool (NIDA Quick Screen) compared with the number identified through existing electronic medical record (EMR) documentation. This outcome measures whether routine screening increases the detection of individuals with possible SUD.
Measured: Baseline through 24 months
Number of Individuals Identified as Viremic and/or Having SUD Through the Social Network Intervention (SNI)
The number of people identified through the Social Network Intervention who have unsuppressed HIV (viremia), substance use disorder, or both. This will be compared to a functional control group (new or re-engaged clinic patients during the same time period) to determine whether the SNI is more effective at finding high-priority individuals needing care.
Measured: Baseline through 24 months
Linkage to HIV Care or Substance Use Services
The proportion of individuals identified through SUD screening or the SNI who successfully link to harm reduction, HIV care, or substance use treatment services. This outcome assesses early engagement in care following identification.
Measured: Baseline through 24 months
Secondary outcomes (8)
Viral Suppression Among Individuals Identified Through Screening or SNI
The proportion of people identified with HIV who achieve viral suppression after being linked to care. This measures the downstream impact of improved identification and engagement.
Measured: Baseline through 24 months
Time to Linkage to HIV Care or Substance Use Services
The number of days from identification (via SUD screen or SNI) to the first attended HIV care appointment, harm reduction service, or substance use treatment visit.
Measured: Baseline through 24 months
Number of New HIV Diagnoses Identified Through the SNI
The number of individuals identified by SNI participants who test positive for HIV and were previously undiagnosed.
Measured: Baseline through 24 months
Substance Use Treatment Initiation
The proportion of people identified with SUD who initiate counseling, medication-assisted treatment, or other substance use services.
Measured: Baseline through 24 months
Re-engagement in HIV Care
The number and proportion of individuals previously out of care for ≥6 months who return for at least one HIV medical visit after identification.
Measured: Baseline through 24 months
Acceptability of SUD Screening and the SNI
Acceptability scores based on surveys and interviews with clinic staff and participants, assessing satisfaction, perceived burden, and overall fit within the clinical setting.
Measured: Measured at Months 6, 12, 18, and 24
Feasibility of Implementing the SUD Screener and SNI
Assessment of whether the interventions can be carried out in the clinic as intended, measured by workflow fit, completion rates, and staff-reported ease of implementation.
Measured: Baseline through 24 months
Sustainability of Screening and SNI Workflows (EPIS: Sustainment Phase)
Indicators of ongoing use of SUD screening and SNI processes without external study support, including continued staff utilization and workflow integration.
Measured: Measured at 24 months
Timeline
From the start of the study to its completion; the mark is today. Estimated dates are the sponsor’s plan.
- First posted17 Feb 2026
- Study start31 Jul 2026 (estimated)
- Primary completion30 Apr 2028 (estimated)
- Study completionApr 2029 (estimated)
Resources
- Official record on ClinicalTrials.govThe registry entry this page is built from, with its full change history.
- Publications (39)Papers the sponsor has linked to this study.
- Other trials for HIVStudies of the same condition, open and under way.
- What the trial phases meanHow a treatment moves from first tests in people to approval.
More details
For doctors and researchers: how the study is designed, who runs it, and its registry IDs.
Study design
- Study type
- Interventional
- Phase
- Phase N/A
- Primary purpose
- Supportive care
- Allocation
- Non-randomised
- Intervention model
- Parallel groups
- Model description
- Viral suppression and SUD reduction will be monitored via chart review and used to parameterize an agent-based model (ABM) examining the potential population-level impact of implementing the SUD screener and SNI across Chicago on the local HIV epidemic. Control data will consist of standard intake data on new patients and patients returning to care at HBH. Standard intake data will be collected corresponding to the same timeframe as the recruitment period for the SNI.
- Masking
- None (open label)
- Enrolment
- 500 participants (estimated)
Sponsor and investigators
- Lead sponsor
- University of California, San Diego
- Sponsor type
- University, hospital or other
- Collaborators
- Howard Brown Health Center, University of Chicago, National Institute on Drug Abuse (NIDA)
- Responsible party
- Principal investigator, Britt Skaathun, University of California, San Diego
- Investigators
- Britt Skaathun, Principal investigator, University of California, San Diego
IDs, dates and publications
- ClinicalTrials.gov ID
- NCT07414459
- Sponsor's protocol ID
- 813457
- Other IDs
- R37DA063274
- Acronym
- SNSUS
- Status last verified
- Feb 2026
- First submitted
- 9 Feb 2026
- Last updated
- 5 May 2026
- Results posted
- No
- Data monitoring committee
- No
- FDA-regulated drug
- No
- FDA-regulated device
- No
- Individual data sharing
- Undecided
Publications
Proctor E, Silmere H, Raghavan R, Hovmand P, Aarons G, Bunger A, Griffey R, Hensley M. Outcomes for implementation research: conceptual distinctions, measurement challenges, and research agenda. Adm Policy Ment Health. 2011 Mar;38(2):65-76. doi: 10.1007/s10488-010-0319-7.
PubMed 20957426Aarons GA, Hurlburt M, Horwitz SM. Advancing a conceptual model of evidence-based practice implementation in public service sectors. Adm Policy Ment Health. 2011 Jan;38(1):4-23. doi: 10.1007/s10488-010-0327-7.
PubMed 21197565Oehler C, Rajagopal A, Songster T, Schmitt J, McNulty M, Schneider J, Pitrak D, Ridgway JP. Partner Notification Services for Patients with Established and New HIV Infection Leads to Diagnosis and Linkage of HIV-Positive Partners. AIDS Behav. 2021 Mar;25(3):809-813. doi: 10.1007/s10461-020-03043-5. Epub 2020 Sep 19.
PubMed 32949327Cummins B, Johnson K, Schneider JA, Del Vecchio N, Moshiri N, Wertheim JO, Goyal R, Skaathun B. Leveraging social networks for identification of people with HIV who are virally unsuppressed. AIDS. 2024 Feb 1;38(2):245-254. doi: 10.1097/QAD.0000000000003767. Epub 2023 Oct 26.
PubMed 37890471Skaathun B, Pho MT, Pollack HA, Friedman SR, McNulty MC, Friedman EE, Schmitt J, Pitrak D, Schneider JA. Comparison of effectiveness and cost for different HIV screening strategies implemented at large urban medical centre in the United States. J Int AIDS Soc. 2020 Oct;23(10):e25554. doi: 10.1002/jia2.25554.
PubMed 33119195Curran GM, Bauer M, Mittman B, Pyne JM, Stetler C. Effectiveness-implementation hybrid designs: combining elements of clinical effectiveness and implementation research to enhance public health impact. Med Care. 2012 Mar;50(3):217-26. doi: 10.1097/MLR.0b013e3182408812.
PubMed 22310560McPherson M, Smith-Lovin L, Cook JM. Birds of a Feather: Homophily in Social Networks. Annual Review of Sociology 2001; 27(1): 415-44.
Shrader CH, Borquez A, Vasylyeva TI, Chaillon A, Artamanova I, Harvey-Vera A, Vera CF, Rangel G, Strathdee SA, Skaathun B. Network-level HIV risk norms are associated with individual-level HIV risk and harm reduction behaviors among people who inject drugs: a latent profile analysis. AIDS Behav. 2023 Feb;27(2):484-495. doi: 10.1007/s10461-022-03783-6. Epub 2022 Aug 8.
PubMed 35939177Nikolopoulos GK, Pavlitina E, Muth SQ, Schneider J, Psichogiou M, Williams LD, Paraskevis D, Sypsa V, Magiorkinis G, Smyrnov P, Korobchuk A, Vasylyeva TI, Skaathun B, Malliori M, Kafetzopoulos E, Hatzakis A, Friedman SR. A network intervention that locates and intervenes with recently HIV-infected persons: The Transmission Reduction Intervention Project (TRIP). Sci Rep. 2016 Dec 5;6:38100. doi: 10.1038/srep38100.
PubMed 27917890Morgan E, Skaathun B, Nikolopoulos GK, Paraskevis D, Williams LD, Smyrnov P, Friedman SR, Schneider JA. A Network Intervention to Locate Newly HIV Infected Persons Within MSM Networks in Chicago. AIDS Behav. 2019 Jan;23(1):15-20. doi: 10.1007/s10461-018-2202-6.
PubMed 29951972Centers for Disease Control and Prevention (CDC). Use of social networks to identify persons with undiagnosed HIV infection--seven U.S. cities, October 2003-September 2004. MMWR Morb Mortal Wkly Rep. 2005 Jun 24;54(24):601-5.
PubMed 15973240Jones E, Rieckmann T. Substance Use Disorder Screening Capacity Lags Behind Depression Screening Capacity in Community Health Centers. Journal of Drug Issues 2017.
Dawson-Rose C, Draughon JE, Zepf R, Cuca YP, Huang E, Freeborn K, Lum PJ. Prevalence of Substance Use in an HIV Primary Care Safety Net Clinic: A Call for Screening. J Assoc Nurses AIDS Care. 2017 Mar-Apr;28(2):238-249. doi: 10.1016/j.jana.2015.12.001. Epub 2015 Dec 11.
PubMed 26763795Lucas GM, Gebo KA, Chaisson RE, Moore RD. Longitudinal assessment of the effects of drug and alcohol abuse on HIV-1 treatment outcomes in an urban clinic. AIDS. 2002 Mar 29;16(5):767-74. doi: 10.1097/00002030-200203290-00012.
PubMed 11964533Grov C, Westmoreland D, Morrison C, Carrico AW, Nash D. The Crisis We Are Not Talking About: One-in-Three Annual HIV Seroconversions Among Sexual and Gender Minorities Were Persistent Methamphetamine Users. J Acquir Immune Defic Syndr. 2020 Nov 1;85(3):272-279. doi: 10.1097/QAI.0000000000002461.
PubMed 32740370
Study at a glance
From the registry record, last updated by the sponsor on 5 May 2026. Recruitment status is as the sponsor reported it: confirm with the study team.
- Official title
- Combining Social Network Strategies and Routine Substance Use Screening
- ClinicalTrials.gov ID
- NCT07414459
- Acronym / sponsor ID
- SNSUS / 813457
- Conditions
- HIV, Substance Use Disorder (SUD)
- Keywords
- social networks, HIV, substance use disorder, HIV testing, HIV prevention, harm reduction, social stigma, programs
- Study type
- Interventional
- Recruitment status
- Not yet recruiting
- Enrolment
- 500 participants (estimated)
- Lead sponsor
- University of California, San DiegoUniversity, hospital or other
- Collaborators
- Howard Brown Health Center, University of Chicago, National Institute on Drug Abuse (NIDA)
- Study start
- 31 Jul 2026 (estimated)
- Primary completion
- 30 Apr 2028 (estimated)
- Study completion
- Apr 2029 (estimated)
- First posted
- 17 Feb 2026 (actual)
- Results
- Not posted in the source record
Clinical summary
The research question as the sponsor registered it. This describes what the study plans to test, not what it found.
This study aims to improve health care for people who may have HIV or substance use disorders by bringing two services to a large community health center in Chicago. First, the clinic will begin offering routine screening for substance use to all patients. Second, the study will offer a social network-based program that helps people identify friends or partners who may need support and link them to care. The goal is to help more people learn their HIV status, reduce HIV levels in the community, and connect people with substance use treatment when needed. The study will also look at how well these services can be added into everyday clinic practice and what is needed to keep them going over time.
Detailed description
This project will take place in a network of federally qualified health centers that serves communities in Chicago that experience some of the highest rates of new HIV infections. The study has two main parts: Routine Substance Use Screening and a Social Network Intervention (SNI).
Routine screening at the clinics will introduce a consistent, standardized way to ask patients about substance use during regular visits. Patients who screen positive will be offered help, referrals, and follow-up services.
The social network intervention asks patients to think about people in their social networks (such as partners, friends, or peers) who may have untreated HIV, may have fallen out of care, or may have substance use concerns. Participants will receive support and tools to help connect people in their network to HIV testing, care, and treatment or substance use services at these clinics.
Together, these activities aim to:
- Identify people who have HIV but are not in care
- Reduce HIV viral load levels in the community
- Identify people with substance use disorders and link them to treatment
- Improve access to supportive services in the community
The study will also examine how easy or hard it is for clinics to use these two strategies in everyday practice. Researchers will gather feedback from clinic staff and patients to understand what helps or gets in the way of using these services in the long term. The goal is to create a package of tools and processes that other clinics can adopt in the future.
Study design
- Primary purpose
- Supportive care
- Allocation
- Non-randomised
- Intervention model
- Parallel groups
- Masking
- None (open label)
- Number of arms
- 2
- Model description
- Viral suppression and SUD reduction will be monitored via chart review and used to parameterize an agent-based model (ABM) examining the potential population-level impact of implementing the SUD screener and SNI across Chicago on the local HIV epidemic. Control data will consist of standard intake data on new patients and patients returning to care at HBH. Standard intake data will be collected corresponding to the same timeframe as the recruitment period for the SNI.
| Arm | Type | Receives |
|---|---|---|
| Routine Substance Use disorder (SUD) screening | Active comparator | Behavioral: Substance use disorder screeningA routine screener for substance use disorder (SUD) will be added to the standard of care at HBH regardless of HIV status or demographic characteristics. |
| Social Network Intervention (SNI) | Experimental | Behavioral: Substance use disorder screening, Behavioral: Social network interventionIn addition to the routine screener for SUD, this arm will receive the Social Network Intervention (SNI), which include the following elements: 1. recruiting, screening, and interviewing "index participants"; 2. training the index participants to recruit others; 3. screening and interviewing persons who present a valid recruitment voucher given to them by an index participant; and 4. training recruits to recruit others. |
Who may qualify
- Ages
- 18 years and older
- Sex
- Male only
- Healthy volunteers
- Not accepted
- Age groups
- Adult, Older adult
Key inclusion criteria (3 listed)
- Assigned male sex at birth
- Has sex with men
- Speaks English or Spanish
Key exclusion criteria (3 listed)
- Institutionalized individuals
- Women
- Non-Hispanic whites
Eligibility is decided by the study team after screening; this overview does not establish that a patient qualifies. Full inclusion and exclusion criteria.
Interventions
| Intervention | Type | Arms |
|---|---|---|
| Substance use disorder screeningImplement a routine SUD screening at the FQHC. | Behavioural | Routine Substance Use disorder (SUD) screening, Social Network Intervention (SNI) |
| Social network interventionSocial network intervention (SNI) to identify individuals who are viremic, have SUD, or both and link them to harm reduction and HIV continuum of care services. There are three main activities that make up the SNI: 1) recruiting, screening, and interviewing "index participants"; 2) training the index participants to recruit others; 3) screening and interviewing persons who present a valid recruitment voucher given to them by an index participant. | Behavioural | Social Network Intervention (SNI) |
Primary outcome
Rate of Substance Use Disorder (SUD) Detection
Time frame: Baseline through 24 months
The number and proportion of patients who screen positive for substance use disorder using the routine SUD screening tool (NIDA Quick Screen) compared with the number identified through existing electronic medical record (EMR) documentation. This outcome measures whether routine screening increases the detection of individuals with possible SUD.
Number of Individuals Identified as Viremic and/or Having SUD Through the Social Network Intervention (SNI)
Time frame: Baseline through 24 months
The number of people identified through the Social Network Intervention who have unsuppressed HIV (viremia), substance use disorder, or both. This will be compared to a functional control group (new or re-engaged clinic patients during the same time period) to determine whether the SNI is more effective at finding high-priority individuals needing care.
Linkage to HIV Care or Substance Use Services
Time frame: Baseline through 24 months
The proportion of individuals identified through SUD screening or the SNI who successfully link to harm reduction, HIV care, or substance use treatment services. This outcome assesses early engagement in care following identification.
8 secondary outcomes
Viral Suppression Among Individuals Identified Through Screening or SNI
Time frame: Baseline through 24 months
Time to Linkage to HIV Care or Substance Use Services
Time frame: Baseline through 24 months
Number of New HIV Diagnoses Identified Through the SNI
Time frame: Baseline through 24 months
Substance Use Treatment Initiation
Time frame: Baseline through 24 months
Re-engagement in HIV Care
Time frame: Baseline through 24 months
Acceptability of SUD Screening and the SNI
Time frame: Measured at Months 6, 12, 18, and 24
Feasibility of Implementing the SUD Screener and SNI
Time frame: Baseline through 24 months
Sustainability of Screening and SNI Workflows (EPIS: Sustainment Phase)
Time frame: Measured at 24 months
Results and safety
This study is still under way. Results are not available in the source record yet.
Research links
- Official record on ClinicalTrials.govLast updated by the sponsor 5 May 2026.
- Background: PubMed 20957426Proctor E, Silmere H, Raghavan R, Hovmand P, Aarons G, Bunger A, Griffey R, Hensley M. Outcomes for implementation research: conceptual distinctions, measurement challenges, and research agenda. Adm Policy Ment Health. 2011 Mar;38(2):65-76. doi: 10.1007/s10488-010-0319-7.
- Background: PubMed 21197565Aarons GA, Hurlburt M, Horwitz SM. Advancing a conceptual model of evidence-based practice implementation in public service sectors. Adm Policy Ment Health. 2011 Jan;38(1):4-23. doi: 10.1007/s10488-010-0327-7.
- Background: PubMed 32949327Oehler C, Rajagopal A, Songster T, Schmitt J, McNulty M, Schneider J, Pitrak D, Ridgway JP. Partner Notification Services for Patients with Established and New HIV Infection Leads to Diagnosis and Linkage of HIV-Positive Partners. AIDS Behav. 2021 Mar;25(3):809-813. doi: 10.1007/s10461-020-03043-5. Epub 2020 Sep 19.
- Background: PubMed 37890471Cummins B, Johnson K, Schneider JA, Del Vecchio N, Moshiri N, Wertheim JO, Goyal R, Skaathun B. Leveraging social networks for identification of people with HIV who are virally unsuppressed. AIDS. 2024 Feb 1;38(2):245-254. doi: 10.1097/QAD.0000000000003767. Epub 2023 Oct 26.
- Background: PubMed 33119195Skaathun B, Pho MT, Pollack HA, Friedman SR, McNulty MC, Friedman EE, Schmitt J, Pitrak D, Schneider JA. Comparison of effectiveness and cost for different HIV screening strategies implemented at large urban medical centre in the United States. J Int AIDS Soc. 2020 Oct;23(10):e25554. doi: 10.1002/jia2.25554.
- Background: PubMed 22310560Curran GM, Bauer M, Mittman B, Pyne JM, Stetler C. Effectiveness-implementation hybrid designs: combining elements of clinical effectiveness and implementation research to enhance public health impact. Med Care. 2012 Mar;50(3):217-26. doi: 10.1097/MLR.0b013e3182408812.
- BackgroundMcPherson M, Smith-Lovin L, Cook JM. Birds of a Feather: Homophily in Social Networks. Annual Review of Sociology 2001; 27(1): 415-44.
- Background: PubMed 35939177Shrader CH, Borquez A, Vasylyeva TI, Chaillon A, Artamanova I, Harvey-Vera A, Vera CF, Rangel G, Strathdee SA, Skaathun B. Network-level HIV risk norms are associated with individual-level HIV risk and harm reduction behaviors among people who inject drugs: a latent profile analysis. AIDS Behav. 2023 Feb;27(2):484-495. doi: 10.1007/s10461-022-03783-6. Epub 2022 Aug 8.
- Background: PubMed 27917890Nikolopoulos GK, Pavlitina E, Muth SQ, Schneider J, Psichogiou M, Williams LD, Paraskevis D, Sypsa V, Magiorkinis G, Smyrnov P, Korobchuk A, Vasylyeva TI, Skaathun B, Malliori M, Kafetzopoulos E, Hatzakis A, Friedman SR. A network intervention that locates and intervenes with recently HIV-infected persons: The Transmission Reduction Intervention Project (TRIP). Sci Rep. 2016 Dec 5;6:38100. doi: 10.1038/srep38100.
- Background: PubMed 29951972Morgan E, Skaathun B, Nikolopoulos GK, Paraskevis D, Williams LD, Smyrnov P, Friedman SR, Schneider JA. A Network Intervention to Locate Newly HIV Infected Persons Within MSM Networks in Chicago. AIDS Behav. 2019 Jan;23(1):15-20. doi: 10.1007/s10461-018-2202-6.
- Background: PubMed 15973240Centers for Disease Control and Prevention (CDC). Use of social networks to identify persons with undiagnosed HIV infection--seven U.S. cities, October 2003-September 2004. MMWR Morb Mortal Wkly Rep. 2005 Jun 24;54(24):601-5.
- BackgroundJones E, Rieckmann T. Substance Use Disorder Screening Capacity Lags Behind Depression Screening Capacity in Community Health Centers. Journal of Drug Issues 2017.
- Individual participant dataSharing planned: Undecided
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Referral and contact
AzTrials does not enrol participants or take referrals. Contact the study team or a site listed below; they decide who can take part.
Britt Skaathun principal investigator
University of California, San Diego
1 site in 1 country: see every site and its status.
Questions about this trial
What is this clinical trial studying?
A study testing Substance use disorder screening and Social network intervention in people with HIV and Substance Use Disorder (SUD), run by University of California, San Diego at 1 site in United States.
The full registered description is in the About this study section and the official record.
Who may be eligible to take part?
The sponsor lists 3 inclusion and 3 exclusion criteria. Eligibility is decided by the study team after screening, so read the full criteria and contact a listed site.
Is this clinical trial currently recruiting?
The record says: opening soon, as of the sponsor's last update on 5 May 2026. Status can change between updates, so confirm with the study contact before making plans.
Where is the study taking place?
The record lists 1 site in United States. Whether a site is taking part right now should be confirmed with that site. See every site.
What are the possible benefits and risks?
They depend on the study and the treatment, and no study can promise a benefit. The study team explains the known risks during informed consent, before anyone joins; the record itself does not list them.
Are results available for this study?
This study is still under way. Results are not available in the source record yet.
How can a doctor refer a patient or contact the research team?
Contact Britt Skaathun, PhD (619-543-5011, bskaathun@health.ucsd.edu), or a site near the patient. AzTrials does not enrol participants or take referrals.
What does the primary outcome measure?
Rate of Substance Use Disorder (SUD) Detection (time frame: Baseline through 24 months). The study lists 3 primary outcomes in all. It is what the study was designed to measure, not a finding.
Where can I read the original study information?
On the ClinicalTrials.gov record for NCT07414459, which also lists 39 linked publications.
Does a listing mean the treatment is approved or proven to work?
No. A listing means the study is registered. It does not show that the treatment is safe, works, or is approved by a regulator.
How often is this information updated?
AzTrials copies changed records from ClinicalTrials.gov every night and reloads the whole registry every week. The sponsor last updated this record on 5 May 2026.