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. 2021 Jan 26;20(3):1814–1823. doi: 10.1007/s11469-020-00482-y

Exploring Factors Associated with Alcohol and/or Substance Use During the COVID-19 Pandemic

Thalia MacMillan 1,, Matthew J Corrigan 2, Kevin Coffey 3, Christine D Tronnier 4, Donna Wang 4, Kathryn Krase 5
PMCID: PMC7837073  PMID: 33519318

Abstract

This study explored the relationship between alcohol and substance use in the general population during the early stages of COVID-19 as related to individual, family, and community stressors. A convenience sample of adults who resided in the USA and Canada was utilized. An online survey was conducted. Over one-third of the sample reported utilizing alcohol and substances as a means to cope during the pandemic. A linear regression revealed that use of social media as a source of information, being personally affected by COVID-19, experiencing child care challenges, and not being associated with a religious community were related to increased likeliness for alcohol and/or substance use. Future research should explore these concepts further within the general population.

Keywords: Coping, COVID-19, General population, Stressors, Substance use, Social media


The COVID-19 pandemic seriously impacted individuals, families, and communities worldwide. Individual reactions to the pandemic are comparable to a traumatic event, disaster, or war (Galea et al., 2020; McLaren et al., 2020), with positive and negative forms of coping emerging in everyday life. A trend of increased alcohol and/or substance use during the COVID-19 pandemic has been identified (Ornell et al. 2020). In particular, alcohol sales have been on the rise since March 2020 (Martin 2020).

In their lifetime, 8 out of 10 adults have utilized alcohol at some point, compared to 5 out of 10 adults who have utilized illicit drugs (NIDA 2019). Research has demonstrated that use of substances and alcohol may represent a negative form of coping (Lagisetty et al. 2017; Ornell et al. 2020; Schulte and Hser 2014). In particular, increased alcohol and/or substance use is related to disasters (Bonanno et al. 2007; Galea et al. 2020), exposure to violence (Hotton et al. 2019, Rougemont-Bücking et al. 2017), and traumatic events (Berenz et al. 2016; Hansen et al. 2020; Moller et al. 2013; North et al. 2002; Read et al. 2014; Sheerin et al. 2016; Walker et al. 2020; Williams et al. 2015). However, increased alcohol and/or substance use may only represent an acute solution and not represent a long-term coping solution (SAMSHA 2020). Generalized stress, behavioral stressors, or feeling overwhelmed are also related to increased alcohol and/or substance use (Bränström and Pachankis 2018; Hassel et al. 2013; Lin et al. 2020; Sola et al. 2019). As noted by Wand et al. (2020), feeling overwhelmed may also be representative or symptomatic of several different types of mental health issues, such as depression, anxiety, or suicidal ideation. Hence, it may be worth exploring how feeling overwhelmed is related to alcohol and/or substance use during a pandemic in a non-clinical population.

Other types of stressors may also be related to alcohol and/or substance use. Daily stressors such as comorbid health conditions, lack of access to medical care, employment, and finances have been found to be related to use of substances and alcohol (Ford 2014; Moller et al. 2013; Neupert et al. 2017). Family related stressors have also been linked to alcohol and/or substance use, such as the presence of children in the home and/or concerns about childcare (Chan and Trant 2018; Rougemont-Bücking et al. 2017).

Social media has the potential to connect individuals with others, disseminate news, or inform users about current or upcoming trends (Vel et al. 2015). In its various forms, social media also has the potential to be invasive and overwhelming due to constant coverage of events and the asynchronous nature of communication (Banerjee 2020; Vel et al. 2015; Wiederhold 2020). In addition, information conveyed via social media also has the potential to amplify and spread anxiety through emotional contagion during crises or mass traumas (Goodwin et al. 2018), which is one way it may differ from traditional media coverage.

Numerous studies examining the relationship between traditional media exposure and increased psychological distress have found links between the two. For example, increased exposure to traumatic television content via the media has been linked with anxiety among Israeli respondents (Bodas et al. 2015) and among Chinese adolescents 6 months after an earthquake in Sichuan (Yeung et al. 2018). More recently, however, attention has turned to evaluating the relationship of social media use on mental health and well-being of users within the general population during crises.

Comparing individuals who followed the coverage of Hurricane Sandy via traditional media sources to those who followed the same event through social media accounts, Goodwin et al. (2013) found that stress responses were significantly higher in those who learned about the hurricane primarily through social media. Researchers suggest that these findings may reflect the extent to which emotional contagion promotes the spread of anxiety via different forms of social media (Goodwin et al. 2013). Similar research was conducted to evaluate the impact of social media use on sleep difficulties among Parisians following the 2015 Paris terrorist attacks. Social media use (i.e., Facebook, Twitter, and Youtube) was found to have a significant association with increases in insomnia among study participants (Goodwin et al. 2018).

While these studies did not explore users’ means of coping with the increased symptoms of anxiety and insomnia, the findings do suggest that additional exploration about the impact of social media use during crises is warranted (SAMHSA 2020), as well as the fact that individuals with insomnia are known to be at increased risk for substance misuse (NIDA 2020). In addition, while other research has documented the relationship between alcohol and/or substance use and use of social media (Erevik et al. 2020; Lyers et al. 2020), little is known about the relationship between social media and negative coping—for example, via alcohol or other substance use—during a global pandemic, particularly within the general population (Wiederhold 2020).

In addition to exploring the potential use of alcohol and other substances as a means of coping, the factors that might prevent such use also warrant exploration. Individuals who are active in religion are less likely to utilize alcohol and other substances (Lo et al. 2012). Arthur et al. (2002) identified religiosity as one of the factors protecting adolescents from substance use and other negative outcomes in their Communities That Care framework. Hence, it may be worthwhile to further examine the role of religiosity in relation to the use of alcohol and other substances.

One limitation of previous research about alcohol and/or substance use is that it has primarily focused on clinical samples, individuals with a defined disorder, or a specialized sample (e.g., people convicted of a crime, college students); general community samples are needed to determine ways in which alcohol and substances are utilized as a means to cope. The purpose of this study was to examine behavioral adaptation and coping through the utilization of alcohol and/or substances during the COVID-19 pandemic by adults in the USA and Canada. More specifically, this study seeks to explore the association of behavioral stressors, general stressors, social media, and religious affiliation with the use of alcohol and/or substances in the general population.

Methods

This study involved an anonymous, cross sectional survey administered online through Qualtrics Survey Software. Institutional Review Board approval was secured prior to survey distribution. As noted by Wang et al. (2021), data were collected in June 2020 and targeted adults living in Canada and the United States (US). Informed consent was provided in the introduction of the survey, and completion of the survey was considered consent for participation. The survey was completely anonymous as no personal identifiers, including names, email addresses, and/or IP addresses, were captured for any individuals. Survey completion took about 10 min or less.

Participants were recruited through convenience and snowball sampling, utilizing researchers’ personal contacts, social media, and personal and professional networks. There were additional efforts made to reach underrepresented populations and geographic areas by inviting known contacts from those communities to share the survey.

The survey consisted of thirty researcher-constructed items using a six-point Likert-type scale. The items asked respondents to indicate their level of agreement to statements concerning the COVID-19 outbreak (1 = strongly disagree, 6 = strongly agree): “I felt overwhelmed by the amount of information available about the Covid-19 outbreak”; “I was personally affected by the virus itself (e.g., personal contracted the virus, knowing people who have died, knowing many people in my community affected), “I experienced challenges related to medical care during the COVID-19 outbreak - medical care”; “I experienced challenges related to medical care during the COVID-19 outbreak – childcare”; “I experienced challenges related to medical care during the COVID-19 outbreak - financial”; “I used the following as a source of information on the COVID-19 outbreak – Social media”; “I felt prepared for the COVID-19 outbreak”; and “The following were a source of support to me during the COVID-19 outbreak – Religious Community”. The main dependent variable was the response to “The following were a source of support to me during the Covid-19 outbreak: - Alcohol and substances”.

Respondents were also asked to provide various demographic including age, gender identity, race and ethnicity, political ideology identification, educational attainment, number of children living in the home, age categories of children living in the home, number of adults living in the home, state/province, and their geographic setting.

Results

A total of 1405 people from Canada and the USA responded to this survey. Representation from all fifty states, District of Columbia, and English-speaking Canada (all ten provinces except Quebec) was obtained. The vast majority of the sample identified as female (82.6%), and White (77.9%). The largest groups of the sample identified as having moderately liberal political views (40.2%), and having a Master’s degree as their highest level of education (33.3%). The average number of children of respondents was 1.68 (SD = 1.68; range from 0 to 6), and the average age of respondents was 43.04 (SD = 24.09; range 18 to 86). Table 1 displays the full demographics of the sample.

Table 1.

Demographics of the sample

Demographic N x_ (SD)/%
Age 43.04 (24.09)
Number of children 1.68 (0.97)
Gender identity
  Female 1154 82.6
  Male 227 16.2
  Other 17 1.21
Race/ethnicity*
  American Indian/First Nations 11 .75
  Asian 41 2.8
  Black or African-American 128 8.7
  Hispanic, Latino or Spanish origin 97 6.6
  Middle Eastern or North African 17 1.7
  Native Hawaiian of other Pacific Islander 6 .41
  White 1138 77.9
  Other 27 1.8
Education
  Less than HS diploma 1 .07
  HS diploma or GED 316 22.6
  Associate’s degree 100 7.2
  Bachelor’s degree 320 22.9
  Master’s degree 466 33.3
  Doctoral degree or PhD 195 14.0
I felt prepared for the COVID-19 outbreak 2.50 (1.59)
Used social media as a source of information 4.53 (1.60)
I was personally affected by the virus itself 3.37 (1.94)
Experienced childcare challenges 3.46 (1.87)
Experienced medical care challenges 2.89 (2.19)
Experienced financial challenges 3.38 (1.91)
I felt overwhelmed by the amount of information available 4.17 (1.61)
Religious community was a source of support to me 3.51 (1.88)
Alcohol and substances were a source of support to me 2.55 (1.71)

*More than one option could be selected

Over one-third of the sample reported utilizing alcohol and/or substances as a source of support (n = 415, 37.5%). On average, individuals were more likely to report utilizing social media as a source of information and felt overwhelmed by the amount of information available. Bivariate analyses of the alcohol and/or substance use variable was conducted across all other study variables. A regression model was built both theoretically on the existing literature and empirically with bivariate relationships.

A two-stage, hierarchical multiple regression analysis was conducted to determine the factors related to alcohol and/or substance use during the COVID crisis (See Table 2). The predictors in the final model explained 8.5% of the variance in the level of agreement with the statement about alcohol and/or substance use. A total of eight factors (i.e., felt prepared for the COVID-19 outbreak, used social media as a source of information, personally affected by the virus, experienced medical care challenges during COVID, experienced childcare challenges during COVID, experienced financial challenges during COVID, felt overwhelmed by the amount of information, religious community was a source of support) were entered into the model, with age being controlled for in the model. Four factors were significantly related to a higher level of agreement with alcohol and/or substance use (i.e., higher use of social media, affected more personally by COVID, more likely to experience childcare challenges during COVID, and less likely to be associated with a religious community) after controlling for age.

Table 2.

Hierarchical regression analysis of predictors of adapting/coping well to COVID

Predictors Model 1
β
Model 2
β
Age − .01 .04
Felt prepared − .06
Information source
  Social Media .14**
  Personally affected .11*
Challenges in crisis
  Medical Care − .08
  Childcare .16**
  Financial − .01
  Overwhelmed by info − .18
Source of support
  Religious community − .15**
R2 .002 .085***
R2 change + .083***

n = 1075, *p < 0.05, **p = <0.005

Discussion

The results of this study provide important insight as to alcohol and/or substance use as a means to cope during the early stages of the COVID-19 pandemic. The factors that contributed to higher reported alcohol and/or substance use were higher use of social media as a source of information, affected more personally by COVID, more likely to experience childcare challenges during COVID, and less likely to be associated with a religious community.

Over one-third of the sample agreed that they utilized alcohol and/or substances as way to cope with the COVID-19 pandemic. This is similar to the results found by Ornell et al. (2020) and Panagiotidis et al. (2020) that alcohol and substances are being utilized during the COVID-19 pandemic as a possible means to cope. As this may represent a negative form of coping (Lagisetty et al. 2017; Ornell et al. 2020; Schulte and Hser 2014), this may be worth exploring further by determining frequency and amount of alcohol and/or substances being utilized. As the regression only explained 8.5% of the variance for alcohol and/or substance use, this suggests that what we know of use during the pandemic is multi-dimensional and multi-faceted. As the majority of the sample was female, it would be interesting to examine the results in greater detail as it may impact use and the factors that are related to it.

Higher utilization of social media was related to higher alcohol and/or substance use. These findings are consistent with previous research that has examined a definitive diagnosis of a substance use disorder with use of social media (Erevik et al. 2020; Lyers et al. 2020). Moreno et al. (2016) noted that social media conveys messages about the acceptability regarding the types and amount of alcohol and/or substance use that may be acceptable. Similar to Wiederhold (2020), this study seeks to explore alcohol and substances as a means to cope, but within the content of the general population. Future research could examine the frequency and amount of past and present use, as well as types of alcohol and/or substances. Additionally, the social media platform, the type of content being viewed, and quantity of its use should also be explored in greater depth. Previous research has explored the potential for social media platforms to amplify and spread emotional contagion during crises (Goodwin et al. 2018), thereby increasing emotional distress among users. It is possible that information about the pandemic was also garnered from social media; hence, higher social media usage may equate to more information gathered, potentially leading to alcohol and/or substance use as a means of coping with the information overload or increased anxiety resulting from emotional contagion.

Personal and family stressors were also found to be related to use of alcohol and substances in this sample. Being personally affected by COVID-19 and being concerned about child care were found to be related to increase use of alcohol and substances. Being personally affected may be symbolic of trauma, complicated grief, or represent a generalized stressor; all of which are related to alcohol and/or substance use (Berenz et al. 2016; Bränström and Pachankis 2018; Hansen et al. 2020; Hassel et al. 2013; Lin et al. 2020; Moller et al. 2013; North et al. 2002; Read et al. 2014; Sola et al. 2019; Sheerin et al. 2016; Walker et al. 2020; Williams et al. 2015). This relationship should be examined further to determine how being affected personally, such as individually being diagnosed with COVID, being at high risk for COVID, or knowing others who are at risk or who have been diagnosed, is related to use of alcohol and substances. It could be posited that this represents a multi-dimensional concept that a single-item question only briefly measures.

Other types of stressors may also be related to alcohol and/or substance use. Daily stressors such as health, access to medical care, employment, and finances have been found to be related to use of substances and alcohol (Ford 2014; Moller et al. 2013; Neupert et al. 2017). Family-related stressors have also been linked to alcohol and/or substance use, such as the presence of children in the home and/or concerns about access to childcare (Chan and Trant 2018; Rougemont-Bücking et al. 2017). Finally, individuals who did not belong to a religious community were more likely to utilize alcohol and drugs. Combined together, these stressors highlight that individual, family, and/or community factors may be related to the use of alcohol and other substances in the general population.

Limitations

This study utilized a convenience sample. Although this limits the degree to which the findings can be generalized, it represents an opportunity to examine alcohol and/or substance use in the community, unlike previous samples that have mainly utilized clinical samples or specific groups. Research has only begun to explore alcohol and/or substance use in the general population during the pandemic; perhaps this study contributes to knowledge base about this critical concern. Also, as the majority of the sample was female, it is possible that the stigma regarding women and substance use might have impacted the responses. This represents an area that should be explored further.

Only single-item measures were utilized for each variable. Thus the frequency of use and type of substance use is unknown. The item to assess alcohol and/or substance use may be subject to self-report bias by individuals in the survey as no formal definition was provided. Additionally, our design precluded the ability to assess change in use due to COVID-19, or if individuals’ substance use remained constant before and during COVID-19. While this may be seen as limiting, it does allow for the exploration of several different concepts. The results of the study represent an exploration of many areas, and highlight concepts should be examined further. However, what we do know from this study is that a certain segment of the sample uses substances for coping, which helps inform maladaptive coping during stressors. This type of measurement is also representative of what many practitioners may utilize as a form of screening to determine potential issues or risk factors.

Limited demographic data was available for each individual. Marital status was not assessed in the study, nor was the total amount of individuals living within the home or having children (regardless of presence within the home). Personal data about the individual is also not captured, such as a mental health diagnosis (e.g., depression or anxiety). Each of these factors may represent additional stress factors that should be taken into account when examining alcohol and/or substance use.

Finally, the study did include individuals from the USA and Canada as part of the sample. We recognize that both countries have responded to COVID-19 in different ways. However, the pandemic is a worldwide phenomenon, and regardless of location, individuals are resourcing information and reacting to it within their own personal way. Future studies should explore the differences between residents of the USA and Canada for their utilization of alcohol and substances.

Implications for Practice

Overall, the findings from this study suggest that there is a need to assess use of alcohol and substances in all populations, particularly those not in a clinical setting. Use of alcohol and substances may represent a negative form of coping; the impact of personal or family stressors and/or a traumatic experience, such as the pandemic, may cause some individuals to utilize substances more than others. Practitioners are encouraged to assess who is at risk, especially those who have personal or family stressors.

However, one limitation is the potential decrease in accessibility of assessment and referral caused by the pandemic and subsequent shutdowns. SAMHSA has funded the development of the Screening, Brief Intervention, and Referral to Treatment (SBIRT) assessment protocol, intended to universally screen for substance use issues (Inman et al. 2020; Levy et al. 2020). This model has largely been employed in medical settings, such as primary care and emergency rooms, in an effort to capture as many people as possible (Davoudi and Rawson 2010). Not only has the pandemic limited the face to face availability of these outlets, the accompanying economic fallout has resulted in many losing employment, and therefore their medical insurance, in the USA. Thus, as use of substances as a coping mechanism has risen, the safeguard of universal screening for problems has become more limited. An area of focus for practice will be to train clinicians in the use of SBIRT online while identifying additional avenues for universal implementation, perhaps through the use of social media. Boudreaux et al. (2015) demonstrated the potential in such practice. In addition, as has been suggested by Goodwin et al. (2018) previously, public health officials and clinicians might consider creating anxiety-mediating interventions that target social media users during times of crises, such as the COVID-19 pandemic, in an effort to curtail the spread of emotional contagion and/or to promote healthy coping among social media users.

Overall, this study was able to demonstrate that the general population is utilizing alcohol and substances, potentially as a means of coping with the pandemic. External stressors, such as the use of social media, and internal stressors, such as being personally affected, were related to use. This topic deems further exploration to determine magnitude and depth of use, as well as exploring other factors related to alcohol and/or substance use during the pandemic.

Compliance with Ethical Standards

Conflict of Interest

The authors reported no conflicts of interest.

Ethical Approval

The current study was designed in accordance with the Policy Statement on Ethical Conduct for Research Involving humans and approved by the SUNY Empire State College Institutional Review Board.

Footnotes

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Contributor Information

Thalia MacMillan, Email: thalia.macmillan@esc.edu.

Matthew J. Corrigan, Email: matthew.corrigan@shu.edu

Kevin Coffey, Email: Kevin.coffey@esc.edu.

Christine D. Tronnier, Email: ctronnier@springfieldcollege.edu

Donna Wang, Email: Dr.donnawang@gmail.com.

Kathryn Krase, Email: Kathryn.krase@yu.edu.

References

  1. Arthur MW, Hawkins JD, Pollard JA, Catalano RF, Baglioni AJ. Measuring risk and protective factors for substance abuse, delinquency, and other adolescent problem behaviors: The communities that care youth survey. Evaluation Review. 2002;26(6):575–601. doi: 10.1177/0193841X0202600601. [DOI] [PubMed] [Google Scholar]
  2. Banerjee, D. (2020). How COVID-19 is overwhelming our mental health. Nature India [online journal].
  3. Berenz EC, Kevorkian S, Chowdhury N, Dick DM, Kendler KS, Amstadter AB. Posttraumatic stress disorder symptoms, anxiety sensitivity, and alcohol-use motives in college students with a history of interpersonal trauma. Psychology of Addictive Behaviors. 2016;30(7):755–763. doi: 10.1037/adb0000193. [DOI] [PMC free article] [PubMed] [Google Scholar]
  4. Bodas M, Siman-Tov M, Peleg K, Solomon Z. Anxiety-inducing media: The effect of constant news broadcasting on the well-being of Israeli television viewers. Psychiatry: Interpersonal & Biological Processes. 2015;78(3):265–276. doi: 10.1080/00332747.2015.1069658. [DOI] [PubMed] [Google Scholar]
  5. Bonanno GA, Galea S, Bucciarelli A, Vlahov D. What predicts psychological resilience after disaster? The role of demographics, resources, and life stress. Journal of Consulting and Clinical Psychology. 2007;75(5):671–682. doi: 10.1037/0022-006X.75.5.671. [DOI] [PubMed] [Google Scholar]
  6. Boudreaux ED, Haskins B, Harralson T, Bernstein E. The remote brief intervention and referral to treatment model: Development, functionality, acceptability, and feasibility. Drug and Alcohol Dependence. 2015;155:236–242. doi: 10.1016/j.drugalcdep.2015.07.014. [DOI] [PMC free article] [PubMed] [Google Scholar]
  7. Bränström, R., & Pachankis, J. E. (2018). Sexual orientation disparities in the co-occurrence of substance use and psychological distress: A national population-based study (2008–2015). Social Psychiatry and Psychiatric Epidemiology: The International Journal for Research in Social and Genetic Epidemiology and Mental Health Services, 53(4), 403–412. 10.1007/s00127-018-1491-4. [DOI] [PMC free article] [PubMed]
  8. Chan KT, Trant J. The relationship of psychological distress and living with children and adolescents for adult non-medical prescription opioid users. Child & Adolescent Social Work Journal. 2018;35(4):391–405. doi: 10.1007/s10560-018-0534-8. [DOI] [Google Scholar]
  9. Davoudi M, Rawson RA. Screening, brief intervention, and referral to treatment (SBIRT) initiatives in California: Notable trends, challenges, and recommendations. Journal of Psychoactive Drugs. 2010;6(2):239–248. doi: 10.1080/02791072.2010.10400547. [DOI] [PubMed] [Google Scholar]
  10. Erevik, E.K., Pallesen, S., Vedaa, O., Andreassen, C.S., Dhir, A., & Torsheim, T. (2020). General and alcohol-related social media use and mental health: A large-sample longitudinal study. International Journal of Mental Health and Addiction [online journal].
  11. Ford J. Poor health, strain, and substance use. Deviant Behavior. 2014;35(8):654–667. doi: 10.1080/01639625.2013.872523. [DOI] [Google Scholar]
  12. Galea, S., Merchant, R. M., & Lurie, N. (2020). The mental health consequences of COVID-19 and physical distancing: The need for prevention and early intervention. JAMA Internal Medicine, 180(6), 817–818. 10.1001/jamainternmed.2020.1562. [DOI] [PubMed]
  13. Goodwin R, Palgi Y, Hamama-Raz Y, Ben-Ezra M. In the eye of the storm or the Bullseye of the media: Social media use during Hurricane Sandy as a predictor of post- traumatic stress. Journal of Psychiatric Research. 2013;47(8):1099–1100. doi: 10.1016/j.jpsychires.2013.04.006. [DOI] [PubMed] [Google Scholar]
  14. Goodwin R, Lemola S, Ben-Ezra M. Media use and insomnia after terror attacks in France. Journal of Psychiatric Research. 2018;98:47–50. doi: 10.1016/j.jpsychires.2017.12.006. [DOI] [PubMed] [Google Scholar]
  15. Hansen MC, Ghafoori B, Diaz M. Examining attitudes towards mental health treatment and experiences with trauma: Understanding the needs of trauma-exposed middle-aged and older adults. Journal of Community Psychology. 2020;48(5):1452–1468. doi: 10.1002/jcop.22339. [DOI] [PMC free article] [PubMed] [Google Scholar]
  16. Hassel A, Nordfjaern T, Hagen R. Psychological and interpersonal distress among patients with substance use disorders: Are these factors associated with continued drug use and do they change during treatment. Journal of Substance Use. 2013;18(5):363–376. doi: 10.3109/14659891.2012.685122. [DOI] [Google Scholar]
  17. Hotton A, Quinn K, Schneider J, Voisin D. Exposure to community violence and substance use among Black men who have sex with men: Examining the role of psychological distress and criminal justice involvement. AIDS Care. 2019;31(3):370–378. doi: 10.1080/09540121.2018.1529294. [DOI] [PMC free article] [PubMed] [Google Scholar]
  18. Inman D, El-Mallakh P, Jensen L, Ossege J, Scott L. Addressing substance use in adolescents: Screening, brief intervention, and referral to treatment. The Journal for Nurse Practitioners. 2020;16(1):69–73. doi: 10.1016/j.nurpra.2019.10.004. [DOI] [Google Scholar]
  19. Lagisetty PA, Maust D, Heisler M, Bohnert A. Physical and mental health comorbidities associated with primary care visits for substance use disorders. Journal of Addictive Medicine. 2017;11(2):161–162. doi: 10.1097/ADM.0000000000000280. [DOI] [PMC free article] [PubMed] [Google Scholar]
  20. Levy S, Wiseblatt A, Straus JH, Strother H, Fluet C, Harris S. Adolescent SBIRT practices among pediatricians in Massachusetts. Journal of Addiction Medicine. 2020;14(2):145–149. doi: 10.1097/ADM.0000000000000551. [DOI] [PubMed] [Google Scholar]
  21. Lin SY, Fried EI, Eaton NR. The association of life stress with substance use symptoms: A network analysis and replication. Journal of Abnormal Psychology. 2020;129(2):204–214. doi: 10.1037/abn0000485. [DOI] [PubMed] [Google Scholar]
  22. Lo C, Tenorio KA, Cheng TC. Racial differences in co-occurring substance use and serious psychological distress: The roles of marriage and religiosity. Substance Use & Misuse. 2012;47(6):734–744. doi: 10.3109/10826084.2012.666312. [DOI] [PubMed] [Google Scholar]
  23. Lyers M, Cutinho D, Thorberg FA. Alexithymia, impulsivity, disordered social media use, mood and alcohol use in relation to Facebook self-disclosure. Computers in Human Behavior. 2020;103:174–180. doi: 10.1016/j.chb.2019.09.004. [DOI] [Google Scholar]
  24. Martin, K. (2020). Impact of COVID-19 on retail alcohol sales. Found on the World Wide Web: https://www.winsightgrocerybusiness.com/center-store/impact-covid-19-retail-alcohol-sales
  25. McLaren, H. J., Wong, K. R., Nguyen, K. N., & Mahamadachchi, K. N. D. (2020). COVID-19 and women’s triple burden: Vignettes from Sri Lanka, Malaysia, Vietnam and Australia. Social Sciences, 9(5), 87. 10.3390/socsci9050087.
  26. Moller CI, Tait RJ, Byrne DG. Self-harm, substance use, and psychological distress in the Australian general population. Addiction. 2013;108(1):211–220. doi: 10.1111/j.1360-0443.2012.04021.x. [DOI] [PubMed] [Google Scholar]
  27. Moreno, M. A., D’Angelo, J., & Whitehill, J. (2016). Social media and alcohol: Summary of research, intervention ideas and future study directions. Adolescents in the Digital Age, 4(3) [online journal].
  28. National Institute of Drug Abuse (NIDA) (2019). National survey on drug use and health: Trends in prevalence of various drugs for ages 12 or older, ages 12 to 17, ages 18 to 25, and ages 26 or older; 2016–2018 (in percent). As found on the World Wide Web: https://www.drugabuse.gov/drug-topics/trends-statistics/national-drug-early-warning-system-ndews/national-survey-drug-use-health.
  29. National Institute of Drug Abuse (NIDA) (2020). Connections between sleep and substance use disorders. Retrieved from https://www.drugabuse.giv/about-nida/noras-blog/2020/03/connections-between-sleep-substance-use-disorders on 2020, November 27.
  30. Neupert SD, Desmarais SL, Gray JS, Cohn AM, Doherty S, Knight K. Daily stressors as antecedents, correlates, and consequences of alcohol and drug use and cravings in community-based offenders. Psychology of Addictive Behaviors. 2017;31(3):315–325. doi: 10.1037/adb0000276. [DOI] [PMC free article] [PubMed] [Google Scholar]
  31. North CS, Tivis L, Mcmillen JC, Pfefferbaum B, Cox J, Spitznagel EL, et al. Coping, functioning, and adjustment of rescue workers after the Oklahoma City bombing. Journal of Traumatic Stress. 2002;15(3):171–175. doi: 10.1023/a:1015286909111. [DOI] [PubMed] [Google Scholar]
  32. Ornell F, Ferreira Moura H, Nichterwitz Scherer J, Pechansky F, Kessler FHP, von Diemen L. The COVID-19 pandemic and its impact on substance use: Implications for prevention and treatment. Psychiatry Research. 2020;289:113096. doi: 10.1016/j.psychres.2020.113096. [DOI] [PMC free article] [PubMed] [Google Scholar]
  33. Panagiotidis, P., Rantis, K., Holeva, V., Parlapani, E., & Diakogiannis, I. (2020). Changes in alcohol use habits in the general population, during the COVID-19 lockdown in Greece. Alcohol and alcoholism (Oxford, Oxfordshire), 55(6), 702–704. 10.1093/alcalc/agaa092. [DOI] [PMC free article] [PubMed]
  34. Read JP, Griffin MJ, Wardell JD, Ouimette P. Coping, PTSD symptoms, and alcohol involvement in trauma-exposed college students in the first three years of college. Psychology of Addictive Behaviors. 2014;28(4):1052–1064. doi: 10.1037/a0038348. [DOI] [PMC free article] [PubMed] [Google Scholar]
  35. Rougemont-Bücking A, Grazioli VS, Daeppen JB, Gmel G, Studer J. Family-related stress versus external stressors: Differential impacts on alcohol and illicit drug use in young men. European Addiction Research. 2017;23(6):284–297. doi: 10.1159/000485031. [DOI] [PubMed] [Google Scholar]
  36. Schulte MT, Hser YI. Substance use and associated health conditions throughout the lifespan. Public Health Reviews. 2014;35(2):1–23. doi: 10.1007/BF03391702. [DOI] [PMC free article] [PubMed] [Google Scholar]
  37. Sheerin C, Berenz EC, Knudsen GP, Reichborn-Kjennerud T, Kendler KS, Aggen SH, Amstadter AB. A population-based study of help seeking and self-medication among trauma-exposed individuals. Psychology of Addictive Behaviors. 2016;30(7):771–777. doi: 10.1037/adb0000185. [DOI] [PMC free article] [PubMed] [Google Scholar]
  38. Sola V, Sakiyama HMT, Rato Padin MDF, Canfield M, Bortolon CB, Laranjeira R, Mitsuhiro SS. Measuring stress, coping, strain, and hopefulness of Brazilian family members of substance misusers: Factor structure of a set of measures. Journal of Substance Use. 2019;24(2):130–139. doi: 10.1080/14659891.2018.1523963. [DOI] [Google Scholar]
  39. Substance Abuse and Mental Health Services Administration (SAMHSA) (2020). Substance use disorder treatment for people with co-occurring disorders. U.S. Department of Health and Human Services, https://store.samhsa.gov/product/tip-42-substance-use-treatment-persons-co-occurring-disorders/PEP20-02-01-004 [PubMed]
  40. Vel K, Brobbey C, Salih A, Jaheer H. Data, technology & social media: Their invasive role in contemporary marketing. Revista Brasileira De Marketing E-ISSN. 2015;14(4):2177–5184. [Google Scholar]
  41. Walker DD, Jaffe AE, Pierce AR, Walton TO, Kaysen DL. Discussing substance use with clients during the COVID-19 pandemic: A motivational interviewing approach. Psychological Trauma Theory Research Practice and Policy. 2020;12(S1):S115–S117. doi: 10.1037/tra0000764. [DOI] [PMC free article] [PubMed] [Google Scholar]
  42. Wand, A., Zhong, B., Chiu, H., Draper, B., & De Leo, D. (2020). COVID-19: The implications for suicide in older adults. International Psychogeriatrics, 1–6. [DOI] [PMC free article] [PubMed]
  43. Wang, D., Marmo, S., Krase, K., & Phanod, L. (2021). Compliance with preventative measures during the COVID-19 pandemic in the USA and Canada: Results from an online survey. (in press.) [DOI] [PubMed]
  44. Wiederhold, B. K. (2020). Social media use during social distancing. Cyberpsychology, Behavior and Social Networking, 23(5), 275–276. [DOI] [PubMed]
  45. Williams EC, Frasco MA, Jacobson IG, Maynard C, Littman AJ, Seelig AD, Crum-Cianflone NF, Nagel A, Boyko EJ. Risk factors for relapse to problem drinking among current and former US military personnel: A prospective study of the Millennium Cohort. Drug and Alcohol Dependence. 2015;148:93–101. doi: 10.1016/j.drugalcdep.2014.12.031. [DOI] [PubMed] [Google Scholar]
  46. Yeung NCY, Lau JTF, Yu NX, Zhang J, Xu Z, Choi KC, Zhang Q, Mak WWS, Lui WWS. Media exposure related to the 2008 Sichuan earthquake predicted probable PTSD among Chinese adolescents in Kunming, China: A longitudinal study. Psychological Trauma Theory Research Practice and Policy. 2018;10(2):253–262. doi: 10.1037/tra0000121. [DOI] [PubMed] [Google Scholar]

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