| Literature DB >> 33549464 |
Camille Zolopa1, Stine Hoj1, Julie Bruneau2, Julie-Soleil Meeson3, Nanor Minoyan4, Marie-France Raynault5, Iuliia Makarenko6, Sarah Larney7.
Abstract
BACKGROUND: "Big Events" are major disruptions to physical, political, and economic environments that can influence vulnerability to drug-related harms. We reviewed the impacts of Big Events with relevance to the COVID-19 pandemic on drug-related risk and harms and access to drug treatment and harm reduction services.Entities:
Keywords: COVID-19; Disaster preparedness; Harm reduction; Illicit drugs; Injecting drug use; People who use drugs
Year: 2021 PMID: 33549464 PMCID: PMC7816610 DOI: 10.1016/j.drugpo.2021.103127
Source DB: PubMed Journal: Int J Drug Policy ISSN: 0955-3959
Fig. 1Study flow diagram.
Characteristics of included publications contributing information on natural disasters.
| USA | Hurricane Katrina | Low-income people who use and sell drugs and were evacuated from New Orleans | Qualitative: cross-sectional ethnographic observation, focus groups, interviews | Changes in the New Orleans drug market and drug use patterns. Drug market violence linked to changing market conditions. | |
| USA | Hurricane Katrina | Low-income Black people who use drugs and were evacuated from New Orleans to Houston | Mixed methods: quantitative & qualitative semi-structured interviews; supplemental qualitative in-depth interviews | Changes in drug use patterns. | |
| USA | Hurricane Katrina | People who use and sell drugs in New Orleans | Qualitative: longitudinal ethnographic observation, focus groups, interviews | Changes in the New Orleans drug market and drug use patterns. Drug market violence linked to changing market conditions. | |
| USA | Hurricane Sandy | Staff from two opioid maintenance programs in New York City | Mixed methods: qualitative interviews; quantitative review of local electronic health record data, including urine toxicology and retention rates | Resources shortages (lack of space). Changes in clinical guidance (take-home doses). | |
| USA | Hurricane Katrina | People who use and/or sell drugs in New Orleans relocated to Houston | Qualitative: longitudinal ethnographic observation, interviews | Changes in Houston drug market and drug use patterns following the entry of New Orleanian evacuees. Drug market violence linked to changing market conditions. | |
| USA | Hurricane Sandy | Opioid treatment program staff and clients in New York and New Jersey. People not in treatment who use drugs in New York and New Jersey. | Qualitative: cross-sectional interviews; review of emergency plans. | Changes in clinical guidance (take-home doses). Resource shortages (transportation, communication). Changes in drug use patterns as a result of clinical shortages. | |
| USA | Hurricanes Katrina & Rita | Clients and staff of substance misuse treatment programs in Texas | Mixed methods: quantitative analysis of client data; qualitative interviews | Changes in demand for services. Resource shortages (electricity). | |
| USA | Hurricane Sandy | Providers and administrators of opioid maintenance treatment in New York | Qualitative: interviews | Changes in service operations. Resource shortages (physical space). | |
| USA | Hurricane Sandy | People who inject drugs in New York City | Mixed methods: qualitative & quantitative semi-structured interviews | Changes to drug-related risks/harms. Changes to drug market. Changes in clinical guidance (take-home doses). Changes in drug use patterns as a result of clinical shortages. | |
| USA | Hurricane Sandy | Clients of Bellevue Hospital Center's buprenorphine clinic in New York City | Mixed methods: qualitative & quantitative semi-structured interviews | Changes to service operations. Resource shortages (buprenorphine). Changes in drug use patterns as a result of clinical shortages. | |
| USA | Hurricane Katrina | Clients and staff of the Bridge House treatment centre in New Orleans | Qualitative: longitudinal description | Changes in demand for services (client impairment). Resource shortages (staff health/morale). | |
| USA | Hurricane Katrina | Latino immigrant day labourers in New Orleans | Qualitative: interviews | Risk of drug use initiation. Risk of BBV. |
Characteristics of included publications contributing information on the 2008 global financial crisis.
| ( | France | People who use drugs in France | Quantitative: longitudinal review of national data; review of specialist/ethnographic studies | Changes in drug use patterns. |
| ( | England, Spain, and Poland | People attending substance treatment services in England, Catalonia, and Poland | Quantitative: cross-sectional surveys | Changes in drug use patterns. |
| Greece | People who inject drugs in Athens | Quantitative: longitudinal administrative data | Changes in blood borne virus incidence. Changes in drug use risk behaviors. Resource shortages (syringe exchange services). | |
| Italy | People who use cocaine in northern Italy | Quantitative: archival, retrospective cohort | Changes to overdose rates. Changes to drug use patterns. | |
| Hungary | People who inject drugs in Hungary | Quantitative: serial cross-sectional survey, administrative time series data | Changes in drug use patterns. Changes to HCV incidence. Resource shortages (syringe exchange services). |
Characteristics of included publications contributing information on heroin shortages.
| First author, year | Country | Population | Study design and methods | Included outcomes |
|---|---|---|---|---|
| ( | Australia | People who inject drugs in Australia | Quantitative: cross-sectional survey | Changes in drug market and drug use patterns. Drug market violence linked to changing market conditions. |
| Australia | People who inject drugs in Australia | Quantitative: administrative time series data | Changes in HCV notifications. Changes in hospital visits for injection-related problems. | |
| Australia | People who inject drugs in Australia | Quantitative: administrative time series data; cross-sectional interviews | Changes in drug availability, purity, and price. | |
| Australia | People seeking treatment for heroin dependence in Australia | Quantitative: administrative time series data, serial cross-sectional interviews with people who inject drugs | Changes in drug use patterns. Changes in drug-related crime. | |
| Australia | People who inject drugs in Australia; people entering treatment for heroin dependence | Quantitative: administrative time series data, serial cross-sectional interviews with people who inject drugs | Changes in drug use patterns. Changes in drug-related mortality and crime. Changes in treatment-seeking for heroin dependence. | |
| Australia | People in treatment for drug dependence in Australia | Quantitative: administrative time series data | Changes in drug-related mortality. | |
| Australia | People entering treatment for opioid dependence in New South Wales | Quantiative: longitudinal, retrospective cohort data | Treatment engagement and retention. | |
| Australia | People charged with cocaine or heroin possession in Australia | Quantitative: administrative time series data | Changes in drug use patterns. | |
| UK | People who inject drugs in London | Qualitative: interviews | Changes to drug use patterns and drug market. | |
| Australia | People who inject drugs in Melbourne | Quantitative: cross-sectional survey | Changes in drug use patterns. | |
| Kenya | People who use heroin in Kenya | Qualitative: cross-sectional interviews | Changes to drug use patterns and drug market. Changes in blood borne virus risk behaviors. Treatment access. | |
| Australia | Mothers who use drugs at the Royal Hospital for Women in New South Wales | Quantitative: administrative time series data | Changes in drug use patterns. Changes in withdrawal treatment for newborns. | |
| Australia | People using heroin in Australia | Quantitative: administrative time series data | Changes in drug market. Changes in overdose rates. Changes in treatment-seeking. | |
| Hungary | People who inject drugs in Hungary | Quantitative: serial cross-sectional survey, administrative time series data | Changes in drug use patterns. Changes to HCV incidence. Resource shortages (syringe exchange services). | |
| Australia | People who inject drugs in Australia | Quantitative: serial cross-sectional survey | Changes in drug use patterns. | |
| ( | Australia | People who use heroin in south-western Sydney | Quantitative: administrative data time series, interviews | Changes in drug use patterns and in drug market. |
| Canada | People who inject drugs in Vancouver | Quantitative: administrative time series data, longitudinal survey data | Changes in drug-related mortality. Changes in drug use patterns. |
Fig. 2Risk pathway map for natural disasters.
Note. Natural disasters can engender infrastructure damage, psychological trauma, population relocation, and drug market disruption. The map highlights the myriad risk factors that can lead to injection risk behaviors, especially in contrast with the limited pathway leading to service engagement.
Fig. 3Risk pathway map for financial crises.
Note. Financial crises directly impact employment, the drug market, and funding for harm reduction and treatment services. Service engagement is dependent on widespread service coverage and access.
Fig. 4Risk pathway map for heroin shortages.
Note. Heroin shortages mainly disrupt the drug market, leading to a variety of possible outcomes. With the exception of drug-related crime, outcomes are strongly influenced by the presence or absence of widespread service coverage.
Fig. 5Proposed risk pathway map for the COVID-19 pandemic.