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. Author manuscript; available in PMC: 2025 Nov 6.
Published in final edited form as: Int J Alcohol Drug Res. 2025 Nov 5;13(2):71–79.

Family burden among US adults experiencing secondhand harms from alcohol, cannabis or other drugs

Thomas K Greenfield 1, Libo Li 1, Katherine J Karriker-Jaffe 2, Cat Munroe 1, Deidre Patterson 1, Erika Rosen 3, Yachen Zhu 1, William C Kerr 1
PMCID: PMC12588143  NIHMSID: NIHMS2120319  PMID: 41200097

Abstract

Background:

Family burden has not been studied in relation to alcohol and other drug harms from others. We adapted a family burden scale from studies of caring for those with mental health conditions for use in the US Alcohol and Drug Harm to Others Survey (ADHTOS). We investigated associations between a seven-item summative burden scale and different types of harms attributed to someone else’s use of alcohol, cannabis, or another drug: (a) being assaulted/physically harmed; (b) having family/partner problems; (c) feeling threatened or afraid; and (d) being emotionally hurt/neglected due to others’ substance use.

Methods:

A survey of adults aged 18 years and over conducted between October 2023 and July 2024 (n = 8,311), involved address-based sampling (n = 3,931 including 193 mail-backs) and web panels (n = 4,380), oversampling Black (n = 951), Latinx (n = 790) and sexual or gender minority (SGM) respondents (n = 309). Data from seven items on types of burdens experienced from other people’s alcohol or drug use were provided by those harmed by someone else’s alcohol or drug use and were used to create a burden scale. Analyses used negative binomial regression on burden sum adjusting for covariates, such as age, gender, race and ethnicity, marital status and years of education.

Results:

The single factor burden scale showed good internal consistency (α = .91). Components assessing being emotionally drained/exhausted and family friction/arguments were endorsed by 38–39% of participants; finding stigma of the other’s substance use upsetting was affirmed by 33%. Fewer endorsed feeling trapped in caregiving roles (22%), problems outside the family (26%), neglect of other family members’ needs (16%), and having to change plans (14%). In adjusted regression models, seven of eight harm exposures were significantly associated with burden scores.

Discussion:

People reported substantial burden from others’ use of alcohol, cannabis, and other drugs. Family support interventions and policy remedies to mitigate these burdens are needed.

Keywords: alcohol and drug harms to others, family burden, scale development, population web survey

Introduction

The burden, including mortality and morbidity, of alcohol and other drugs on society has often been interpreted as the consequences of a person’s own use (Shield et al., 2015; Forouzanfar et al, 2016; US Burden of Disease Collaborators et al., 2018). Interventions and policies are typically designed to mitigate these negative outcomes involving a person’s own use of alcohol (Rabiee et al., 2017; Stockwell et al., 2021; US Preventive Services Task Force, 2018) and/or other drugs (Rehm & Gmel, 2001). Although for years, studies have implicitly included harm to others, e.g., drink driving analyses (Voas & Fell, 2011; Wali et al., 2017) and exposure to violence (Berenson et al., 2001; Cameron et al., 2016), fewer studies have focused explicitly on secondhand effects from others’ consumption. Secondhand alcohol and drug harms (ADH) are used synonymously with externalities (Greenfield et al., 2009) or harms experienced from others’ alcohol or other substance use. One study in Baltimore found 38.4% of alcohol-involved deaths were of someone other than the drinker (Trangenstein & Jernigan, 2020). Some recent reviews of alcohol-related mortality and morbidity also have identified alcohol’s extensive harm to others, although this has been under-researched (Rehm et al., 2017).

There is a growing literature on alcohol’s harms to others (Callinan et al., 2019; Casswell & Thamarangsi, 2009; Casswell et al., 2011; Fillmore, 1985; Greenfield et al., 2009; Greenfield et al., 2016; Jiang et al., 2015) and more recently also secondhand cannabis harms (Greenfield et al., 2024; Kerr et al., 2021). The alcohol harms literature has investigated associations between secondhand alcohol and drug harms (ADH) and quality of life, wellbeing, and mental health problems among affected others, where affected others often are family members (Karriker-Jaffe et al., 2018a; Laslett et al., 2017; Laslett et al., 2023; Romac et al., 2022). This issue sometimes is explicitly framed as a burden on those who have someone in their lives who drinks heavily (Connor & Casswell, 2012).

Regarding family burden, a separate tradition developed mainly from assessing the burden associated with caring for cognitively impaired elderly people (Zarit et al., 1980) has resulted in development of a 10-item burden assessment (Graessel et al., 2014). Others have assessed the burden of people caring for those with serious mental illness (SMI; Reinhard et al., 1994). Reinhard et al. (1994) developed a 19-item, self-administered Burden Assessment Scale (BAS) to capture the degree of burden experienced by caregivers of a family member with SMI. This BAS instrument has been recommended by the PhenX Toolkit under its Protocol for Family Burden of Mental Illness (https://www.phenxtoolkit.org/protocols/view/662201).

Only one known study has addressed burden related to caring for family members with a substance use disorder, in a comparative framework contrasting burden due to SMI (Kahya et al., 2022). The Kahya and colleagues (2022) study used the Zarit Caregiver Burden Scale (CBS; Zarit et al., 1980) administered to family members who had cared for at least a year for one of three groups of 50 patients diagnosed with either bipolar disorder, schizophrenia, or substance use disorder (SUD). The Zarit CBS score related to the SUD group was found to be higher (p < .001) than those related to bipolar disorder or with schizophrenia.

Assessing a study participant’s burdens involved in coping with individuals who have various conditions, may also have relevance for situations that involve harms experienced because of someone’s (often a partner, family member or other known individual) problematic alcohol or other substance use. Conceivably, this person has often caused various types of ‘harm’, such as emotional harm or neglect, family or marital troubles, or physical harm as a result of their substance use. Sometimes these harms may be associated with a perceived ‘burden’, such as feeling drained and exhausted, family frictions and arguments, or feeling the stigma of having a close substance user in their life. These burdens might involve reflecting upon past harms experienced from a person with substance use problems, and, for some people, this might involve a lasting or residual sense of psychological consequences considered to involve these kind of burdens. In our conceptualization, such ongoing or perhaps lasting burdens can be one aspect of, or metric associated with, experiencing specific secondhand alcohol and other drugs (AOD) harms. As noted earlier, while mental health and quality of life of those affected in specific ways by others’ use of alcohol have been well studied (Karriker-Jaffe et al., 2018a), there is a gap in research related to the extent of experiencing various burdens by those reporting types of harms like physical or emotional harms from partners, other family members, and friends who drink a lot of alcohol. This research gap is even greater for burdens experienced from reporting harms from others’ use of cannabis and other substances in addition to, or instead of alcohol.

To address this gap, for the present study we adapted relevant items from the BAS, an established burden scale reflective of the kind of harms a person might experience from another’s substance use, e.g., alcohol, cannabis, and drugs other than cannabis such as opioid pain pills, fentanyl or heroin, cocaine, etc., presented to participants in multiple choice form. Specifically, we adapted the BAS to yield an alcohol and/or drug harm (ADH) scale assessing strain related to caring for someone using substances. We took six BAS items (Reinhard et al., 1994) and added one new item – having been emotionally drained or become exhausted – resulting in a seven-item burden scale for use in the US Alcohol and Drug Harm to Others Survey (ADHTOS; ICF, 2024). This was used to examine degree of burden experienced by those reporting secondhand ADH resulting from another person’s use of alcohol, cannabis, and drugs other than cannabis. We assessed the burden of ever having experienced (often at close quarters) various secondhand alcohol and other drug harms. We aimed to (a) investigate the psychometrics of the seven-item ADH burden scale, since the burden items had not previously been applied in this framework of secondhand alcohol and drug harms; and (b) analyze associations of the burden score with several kinds of harms experienced, given that perceived burden might differ by the specific types of harms and substances perceived to have been used by the other person.

Methods

Data

The ADHTO web survey of adults aged 18 years or more was conducted from December 2023 to January 2024. We report results based on those with relevant data in the complete web-based dataset (total n = 8,311). The survey used probability sampling of mailing addresses to invite people to complete a web survey (n = 3,931, including 193 mail-back responses, offered in a follow-up mailing to non-responders), as well as non-probability, proprietary web panels (n = 4,380). The panel survey included an oversampling of individuals identifying as sexual or gender minorities (SGM; 3.8%), and both the mail and panel samples included oversamples of Black and Hispanic respondents. While some differences in compositions of the address-based and proprietary web panel samples are expected and commonly observed, propensity scores from a multinomial logistic regression model were used to calculate a non-response adjustment for the address-based sample (ABS) to calculate a non-probability weight, and to combine the samples using the probability of observing the respondent in the ABS or web panel. Propensity scores were estimated from the model, including age, gender, race/ethnicity, marital status, educational attainment, region, sexual orientation, presence of children in the household, and general health (ICF, 2024). Sample weights also adjusted the data to represent the US adult household population at the time of data collection. Weighting for complete cases took account of non-response, and as a reference sample utilized the 2023 National Household Interview Survey (NHIS) weighted to the US population in turn involving the American Community Survey (United States Census Bureau, 2020). Web-based data collection was undertaken by ICF Inc. of Fairfax, Virginia. The Institutional Review Boards of the Public Health Institute (Approval #I21–022) and ICF approved the study protocol.

A subset of survey participants reported secondhand ADH. Only participants who reported lifetime harms from others’ drinking, marijuana (hereafter cannabis), or other drugs besides cannabis, completed the burden items (our focus here, n = 5,991). Table 1 provides the unweighted and weighted sample characteristics of included cases. For the unweighted sample, 63.3% were cisgender women and 34.4% identified as a man, with 2.4% identifying as a gender minority (including trans woman, trans man, gender queer, nonconforming and non-binary) derived from a gender identity question. In terms of ethnicity, 9.8% identified as Hispanic or Latinx (in response to the question: Are you Hispanic, Latino/a, or of Spanish origin?). Weighting procedures (described earlier) balanced the sexes, increased the Hispanic/Latinx group, and somewhat increased the never-married group.

Table 1.

Sample Characteristics: Percentage or Mean (Standard Deviation) for Continuous Variables

Variable Unweighted Weighted
n = 5,991 n = 5,991
Age in years 50.76 (16.99) 48.01 (17.70)
Current gender
 Cis Man 34.4 49.5
 Cis Woman 63.3 49.2
 Gender Minority 2.4 1.2
Race/ethnicity
 Non-Hispanic White 70.7 63.3
 Non-Hispanic Black 11.8 11.3
 Hispanic 9.8 16.4
 Other race or ethnicity 7.7 8.9
Marital status
 Married or living with partner 50.5 51.7
 Windowed/Divorced/Separated 24.0 20.0
 Never married 25.4 28.3
Years of education after 9th grade 5.73 (2.50) 5.02 (2.44)
Ever threatened/afraid by others’ alcohol or drug use
 No 57.9 61.7
 Yes 42.1 38.3
Ever emotionally hurt/neglected by others’ alcohol or drug use
 No 60.3 65.8
 Yes 39.7 34.2
Ever physically harmed by others’ drinking
 No 68.0 68.2
 Yes 32.0 31.8
Ever family/marital problems from others’ drinking
 No 65.2 67.1
 Yes 34.8 32.9
Ever physically harmed by others’ marijuana use
 No 93.9 93.2
 Yes 6.1 6.8
Ever family/marital problems from others’ marijuana use
 No 89.8 90.3
 Yes 10.2 9.7
Ever physically harmed by others’ other drug use
 No 90.0 89.9
 Yes 10.0 10.1
Ever family/marital problems from others’ other drug use
 No 83.1 84.8
 Yes 16.9 15.2

Burden Variables

Data on seven items depicting the different kinds of ADH burdens experienced from other peoples’ alcohol or drug use (e.g., had to change personal plans, family frictions or arguments) using a four-point response scale (not at all, a little, some, a lot). Burden data were provided by 73.8% of all participants, i.e., those reporting at least some lifetime harm due to someone else’s use of alcohol and/or another drug. We excluded harm from coworkers, and included those who completed at least six of seven burden items. Verbatim items and rates of endorsing each of the four levels are provided in Table 2. All items were preceded by: Here are some things which other people have found to happen to them because of another person’s alcohol, marijuana or other drug use. Have you … (the use of the word ever in Table 1 indicates use of a lifetime frame).

Table 2.

Verbatim Items with Response Distribution (Percentages) and Summary of Maximum-Likelihood Factor Analysis Statistics

Item Distribution (percent) Factor Statistics
Never A little Some A lot Communality Loading
Had to change your personal plans like taking a new job, going to school, or going on vacation 85.7 6.7 5.0 2.6 0.039 0.678
Had to neglect other family members’ needs because of another person’s alcohol or drug use 84.1 8.5 4.9 2.5 0.528 0.672
Experienced family frictions or arguments because of another person’s alcohol or drug use 62.0 16.2 12.8 9.0 0.657 0.810
Experienced frictions with neighbors, friends, or relatives outside the home because of another person’s alcohol or drug use 73.6 13.9 8.7 3.8 0.510 0.714
Felt trapped in a caregiving role because of another person’s alcohol or drug use 78.8 8.7 6.8 5.7 0.629 0.793
Found the stigma of the other person’s alcohol or drug use to be upsetting 66.7 14.4 10.3 8.6 0.624 0.790
Been emotionally drained or become exhausted because of another person’s alcohol or drug use 61.7 15.9 10.5 12.3 0.705 0.840

We constructed a summative Alcohol and Drug Burden Scale score ranging from 7 (items all rated as none = 1) to 28 (all items rated as a lot = 4). The resultant scale showed high internal consistency (see Results).

Key Independent Variables

For secondhand alcohol and other drug harms we first asked about a series of harms based on the six standard secondhand harms included in the National Alcohol Survey (NAS) and the US National ADHTO Survey (Greenfield et al., 2009; Greenfield et al., 2015; Nayak et al., 2019). For alcohol, cannabis, and drugs other than cannabis (queried separately), we initiated the series by first asking a question about ever being harmed, e.g., Have you ever been pushed, hit, assaulted or physically harmed by someone who had been drinking/after they had been using marijuana/after they had been using a drug other than marijuana?

In this initial analysis of associations between burden and secondhand harms, we focused on two key harms for each of the three substance groups involved, i.e., alcohol, cannabis, and drugs other than cannabis: (a) ever assaulted/physically harmed, and (b) ever experienced family problems or marriage difficulties. We additionally considered two items with a reference to others’ alcohol or drug use: (c) Have you ever felt threatened by, or afraid of, someone who had been drinking or using drugs? and (d) Have you ever been emotionally hurt or neglected because of someone else’s drinking or drug use? Following these lifetime questions, respondents were asked about the timing of the harm (not reported here). Participants were then asked, e.g., Who emotionally hurt or neglected you after they had been drinking or using drugs, with a large set of non-exclusive response options, such as parent, stepparent, child, other family member, friend, stranger, etc. For harm questions focused on or including other drugs besides cannabis, participants were asked follow-up questions about what substance/s the other person was perceived to have been using, with multiple possible responses from a detailed list including up to seven specific types of substance/s said to have caused the harm, with multiple-choice options including alcohol, cannabis, opioid pain pills, Fentanyl or heroin, cocaine, methamphetamine or stimulants, some other drug, and “don’t know”, though these details will be presented in another paper yet to be published. The first author may be contacted for these results.

Covariates

Main analyses adjusted for covariates including age (continuous from 18 years), and dummy variables for the gender categories cis woman and gender minority (GM; trans woman, trans man, gender queer, and nonconforming); Black/African American race and Hispanic/Latinx ethnicity, with Other race or ethnic group (reference non-Hispanic White group); two marital status dummy variables (married or living with a partner, and never married); and years of education (minus nine years) such that 1 = less than high school, 3 = high school Diploma/GED, 4 = technical qualification/some college but no degree, 5 = Associate 2-year degree, 7 = 4-year undergraduate degree, and 10 = graduate degree (a compromise between masters, PhD, MD, etc.).

Analyses

A negative binomial regression analysis estimated the seven-item ADH burden score (dependent variable) based on the group of eight harms and covariates. Negative binomial regression is appropriate because the burden scale data are skewed (in other words, the ADH burden score has a greater number of lower values than higher values) and so is over-dispersed, such that the conditional variance is greater than the conditional mean; it represents a generalization of the Poisson regression approach with loosened restrictive assumptions (Hilbe, 2007). The eight lifetime secondhand harms and all demographic covariates were predictors, and analyses were weighted to be nationally-representative. Psychometric analyses used SPSS V20 (IBM Corp., Released 2011), and the negative binomial regression analysis used Stata Release 17 (StataCorp, 2021).

Results

Psychometrics of Burden Scale

An exploratory factor analysis of burden items using Maximum Likelihood Extraction yielded a single factor in four iterations, accounting for 58.7% of the total variance. Table 2 provides item communalities and factor loadings.

Communalities ranged from 0.46 (Had to change personal plans) to 0.71 (Emotionally drained or became exhausted). Factor loadings ranged from 0.67 (Had to neglect family needs) to 0.84 (Emotionally drained or became exhausted). The ADH Burden Scale showed good internal consistency (Cronbach’s alpha = .91; Streiner, 2003). Reliability analysis indicated that alpha was reduced by the removal of any single item, with item-to-corrected total (total minus item) correlations all high: 0.649 to 0.790. Table 2 also presents the verbatim burden items and response distributions, with endorsements illustrated visually in Figure 1. Due to secondhand alcohol/drug use, two items (feeling emotionally drained/exhausted and family friction/arguments) were endorsed by 38–39% of participants (9–12% responded indicating they experienced each a lot); 33% endorsed finding the stigma of the other person’s substance use upsetting (with 9% indicating this happened a lot). Fewer participants endorsed feeling trapped in caregiving roles (22%; 6% a lot), problems outside the family (26%; 4% a lot) and having to change plans (14%; 3% a lot). See Table 2 and Figure 1 for distributions.

Figure 1. Distributions of Burden Items based on Data in Table 2.

Figure 1

Note: Distributions of burden items (percentages for ‘a little’, ‘some’, and ‘a lot’) are based on data in Table 2 (which also provides percentages for ‘never’)

Levels of Lifetime Secondhand Harms

Considering the weighted column of Table 1, assault/physical harm and family/marriage problems attributed to others’ drinking alcohol were reported by 32% and 33% of the burden sample (those who completed harm items and the burden scale), respectively; the same two harms attributed to cannabis were reported by 7% and 10%, respectively; and ever being harmed by people using drugs other than cannabis were reported by 10% and 15%, respectively. The two further lifetime secondhand harms attributed to other people’s alcohol or drug use (threatened/afraid and feeling emotionally hurt/neglected) were reported by 38% and 34%, respectively.

Negative Binomial Regressions

Figure 2 presents the regression on the summative burden scale of substance-attributed lifetime secondhand harms. The coefficients (estimates) are presented in the central figure and detailed on the right-hand side of the figure with 95% confidence intervals and significance levels. For the eight secondhand harms, two had especially high associations with the dependent burden scale – ever emotionally hurt/neglected and ever family/marital problems due to someone else’s drinking, with estimates of approximately 0.5 (p < .001). Ever experiencing family/marital problems due to others’ cannabis use and due to drugs other than cannabis also were associated with burden (0.34–0.36; p < .001), as was ever physically harmed by others’ cannabis use (0.41; p < .001) and by others’ drinking (0.24; p< .001). Similarly, ever threatened/afraid by someone using alcohol or drugs was also associated with the dependent burden scale (2.2; p < .001). Note that all these ever-harmed relationships control for the remaining harms and covariates. Only ever physically harmed by others drug use besides cannabis, though also in the positive direction regarding burden, was not significantly associated with burden. Burden declined with age and was lower for cis women and for people who reported being a gender minority vs. cisgender men (all p < .001). Those identifying as Non-Hispanic Black tended to report higher degrees of burden (p < .05), while those reporting being of another race or ethnic group tended to have lower burden scores (p < .05), both referenced to non-Hispanic White people. Finally, those who were never married and who had more years of education tended to have lower burden scores (p < .01).

Figure 2. Summary of Negative Binomial Regression Estimating Sum of Seven Burden Items.

Figure 2

Notes: * p < 0.05; ** p < 0.01; *** p < 0.001; n = 5,927 with complete data.

Discussion

Having developed a brief seven-item single-factored ADH Burden Scale with good psychometric properties, we found that about two in five people in our US adult sample with various secondhand AOD harms expressed feeling emotionally harmed or neglected or had family friction-related burdens from others’ AOD use. About a third reported stigma-related burdens, and 14–26% reported the remaining burden types of the seven asked. Degree of burden was associated with high adjusted likelihood of ever experiencing family or marital problems caused by someone else’s use of alcohol, and somewhat less so, but still significantly, with others’ use of cannabis, or drugs besides cannabis. Feeling emotionally hurt/neglected due to someone else’s drinking/drug use also was strongly associated with degree of burden, with being threatened/fearful also significant, but less so. Being assaulted or physically harmed was associated with degree of burden for alcohol and cannabis, and not on account of drugs besides cannabis (although in the positive direction) – in each case controlling for the other harms and covariates. Implicitly, findings suggest that all other factors equal (including harm’s experienced), cis men had a relatively higher burden from others’ substance use than cis-women, as did younger individuals. However, this does not speak to the relationship between particular harms and gender or age, which is not examined here.

There are limitations in our work. First, as in all such surveys, we relied on self-report of all variables, which may introduce unknown biases, including sampling bias (given the combined probability and non-probability samples) and recall limitations; given the web-based survey may have under-represented certain racial and ethnic groups, with these designations being only broadly defined, and not recognizing heterogeneity within such groups. Second, this analysis was based on cross-sectional data. Third, the negative binomial regressions used complete data for all variables with 5,927 cases, whereas the ADH burden scale was completed by 5,991, although only a 1% difference. Fourth, the seven-item burden scale is highly skewed as an ‘outcome’, addressed by negative binomial regression, and included all secondhand harm exposure variables together (i.e., controlling for one another as well as covariates). Results with each of the harm items entered individually showed little difference (results not shown). A noteworthy strength of this work is that we have begun to examine the metric of ADH burden associated with experiencing lifetime secondhand harms from several specified substances beyond (but including) alcohol’s harm to others. We acknowledge that the substance groups reported are perceptions and might not reflect the actual substances used by the other. We did not delve into perpetrators and timing of the harms, a topic for a further paper.

In thinking about how to reduce burden, it is important to examine what family supports and interventions (Orford, 1990; Orford et al., 2005) might be effective, and which policy remedies – such as those considered for reducing harm associated with men’s heavy alcohol use (Karriker-Jaffe et al., 2023) – might be adapted to the wider array of substances to reduce the burden from someone else’s substance use. Because our focus has been primarily on initial results, it is beyond the scope of this paper to closely examine policy approaches and family interventions to offset burdens experiences owing to the wide range of alcohol, cannabis and other substances reported by our participants, which should be the focus of a further paper. Strategies developed for alcohol-related harms are likely to differ from those for specific other substances and their combinations. However, we should mention that it remains important to position whatever approaches are developed in a public health framework in order to reduce further stigmatization of people who use substances (Karriker-Jaffe et al., 2018b; Wilkinson & Ritter, 2021).

Conclusions

This study extended the paradigm of secondhand harms beyond those due to alcohol alone, to include harms resulting from others’ use of other substances such as cannabis, cocaine, methamphetamine, and opioids among other substances. The prevalence of the secondhand alcohol and drug harms we studied here ranged from about two in five (ever felt threatened or afraid due to someone else’s alcohol or drug use), to around a third (ever had family/marital and physical harms from another’s drinking), and to as low as one fifteenth (ever experienced physical harm from someone’s cannabis use). We developed a psychometrically sound seven-item burden scale and used it as a metric for the impacts of others’ use of alcohol, cannabis and other drugs. We found that adjusting for demographic and other factors, ever being threatened/made afraid, emotionally harmed/neglected, or having had family/marital difficulties due to someone else’s alcohol and other substance use were each significantly associated with the burden score. Similarly, ever experiencing physical harm from others’ alcohol or cannabis use was associated with burden.

Acknowledgements

Funding for this work was provided by the US National Institute on Alcohol Abuse and Alcoholism (NIAAA) at the National Institutes of Health (NIH) (grant numbers R01AA029001 and P50AA005595). NIAAA and NIH had no role in the analysis or interpretation of data. The content and opinions are those of authors and do not reflect official positions of NIAAA or NIH. A draft of this paper was presented at the 49th Annual Alcohol Epidemiology Symposium of the Kettil Bruun Society (KBS), Fremantle, Australia, in May 2024.

Declaration of interest:

Drs. Kerr and Greenfield and Ms. Patterson have received funding and travel support from the U.S. National Alcoholic Beverage Control Association (NABCA). Dr. Kerr has been paid as an expert witness regarding cases on alcohol policy issues retained by the Attorney General’s Offices of the U.S. states of Indiana and Illinois under arrangements where half of the cost was paid by organizations representing wine and spirits distributors in those states.

References

  1. Berenson AB, Wiemann CM, & McCombs S (2001). Exposure to violence and associated health-risk behaviors among adolescent girls. Archives of Pediatrics & Adolescent Medicine, 155(11), 1238–1242. 10.1001/archpedi.155.11.1238 [DOI] [PubMed] [Google Scholar]
  2. Callinan S, Rankin G, Room R, Stanesby O, Rao G, Waleewong O, Greenfield TK, Hope A, & Laslett AM (2019). Harms from a partner’s drinking: An international study on adverse effects and reduced quality of life for women. The American Journal of Drug and Alcohol Abuse, 45(2), 170–178. 10.1080/00952990.2018.1540632 [DOI] [PMC free article] [PubMed] [Google Scholar]
  3. Cameron MP, Cochrane W, Gordon C, & Livingston M (2016). Alcohol outlet density and violence: A geographically weighted regression approach. Drug and Alcohol Review, 35(3), 280–288. 10.1111/dar.12295 [DOI] [PubMed] [Google Scholar]
  4. Casswell S, & Thamarangsi T (2009). Reducing harm from alcohol: Call to action. Lancet, 373(9682), 2247–2257. 10.1016/S0140-6736(09)60745-5 [DOI] [PubMed] [Google Scholar]
  5. Casswell S, You RQ, & Huckle T (2011). Alcohol’s harm to others: Reduced wellbeing and health status for those with heavy drinkers in their lives. Addiction, 106(6), 1087–1094. 10.1111/j.1360-0443.2011.03361.x [DOI] [PubMed] [Google Scholar]
  6. Connor J, & Casswell S (2012). Alcohol-related harm to others in New Zealand: Evide nce of the burden and gaps in knowledge. The New Zealand Medical Journal, 125(1360), 11–27. [Google Scholar]
  7. Fillmore KM (1985). The social victims of drinking. British Journal of Addiction, 80(3), 307–314. 10.1111/j.1360-0443.1985.tb02544.x [DOI] [PubMed] [Google Scholar]
  8. Forouzanfar MH, Afshin A, Alexander LT, Anderson HR, Bhutta ZA, Biryukov S, Brauer M, Burnett R, Cercy K, Charlson FJ, Cohen AJ, Dandona L, Estep K, Ferrari AJ, Frostad JJ, Fullman N, Gething PW, Godwin WW, & Griswold M (2016). Global, regional, and national comparative risk assessment of 79 behavioural, environmental and occupational, and metabolic risks or clusters of risks, 1990–2015: a systematic analysis for the Global Burden of Disease Study 2015. The Lancet, 388(10053), 1659–1724. 10.1016/S0140-6736(16)31679-8 [DOI] [Google Scholar]
  9. Graessel E, Berth H, Lichte T, & Grau H (2014). Subjective caregiver burden: Validity of the 10-item short version of the Burden Scale for Family Caregivers BSFC-s. BMC Geriatrics, 14, 23. 10.1186/1471-2318-14-23 [DOI] [PMC free article] [PubMed] [Google Scholar]
  10. Greenfield TK, Ye Y, Kerr W, Bond J, Rehm J, & Giesbrecht N (2009). Externalities from alcohol consumption in the 2005 US National Alcohol Survey: Implications for policy. International Journal of Environmental Research and Public Health, 6(12), 3205–3224. 10.3390/ijerph6123205 [DOI] [PMC free article] [PubMed] [Google Scholar]
  11. Greenfield TK, Karriker-Jaffe KJ, Kaplan LM, Kerr WC, & Wilsnack SC (2015). Trends in alcohol’s harms to others (AHTO) and co-occurrence of family-related AHTO: The four US National Alcohol Surveys, 2000–2015. Substance Abuse : Research and Treatment, 9(Suppl 2), 23–31. 10.4137/SART.S23505 [DOI] [PMC free article] [PubMed] [Google Scholar]
  12. Greenfield TK, Karriker-Jaffe KJ, Kerr WC, Ye Y, & Kaplan LM (2016). Those harmed by others’ drinking in the US population are more depressed and distressed. Drug and Alcohol Review, 35(1), 22–29. 10.1111/dar.12324 [DOI] [PMC free article] [PubMed] [Google Scholar]
  13. Greenfield TK, Tam CC, & Kerr WC (2024). Secondhand harms from cannabis use: Findings from Washington State, United States. Journal of Studies on Alcohol And Drugs, 85(6), 777–787. 10.15288/jsad.23-00342 [DOI] [PMC free article] [PubMed] [Google Scholar]
  14. IBM SPSS Statistics for Windows, Version 20.0. Armonk, NY; Released 2011. [Google Scholar]
  15. ICF. (2024). National Alcohol and Drugs Harm to Others Survey 2023–2024: Methodology Report, p. 19. [Available from author]
  16. Jiang H, Callinan S, Laslett AM, & Room R (2015). Correlates of caring for the drinkers and others among those harmed by another’s drinking. Drug and Alcohol Review, 34(2), 162–169. 10.1111/dar.12175 [DOI] [PubMed] [Google Scholar]
  17. Kahya Y, Erdoğan A, Onder A, Kulaksızoğlu B, & Kuloglu M (2022). Comparison of patients with schizophrenia, bipolar disorder, and substance use disorder in terms of family burden. ADDICTA: The Turkish Journal on Addictions, 9. 10.5152/ADDICTA.2022.21078 [DOI] [Google Scholar]
  18. Karriker-Jaffe KJ, Li L, & Greenfield TK (2018a). Estimating mental health impacts of alcohol’s harms from other drinkers: Using propensity scoring methods with national cross-sectional data from the United States. Addiction, 113(10), 1826–1839. 10.1111/add.14283 [DOI] [PMC free article] [PubMed] [Google Scholar]
  19. Karriker-Jaffe KJ, Room R, Giesbrecht N, & Greenfield TK (2018b). Alcohol’s harm to others: Opportunities and challenges in a public health framework. Journal of Studies on Alcohol and Drugs, 79(2), 239–243. 10.15288/jsad.2018.79.239 [DOI] [PMC free article] [PubMed] [Google Scholar]
  20. Karriker-Jaffe KJ, Blackburn N, Graham K, Walker MJ, Room R, Wilson IM, Waleewong O, Gilchrist G, Ramsoomar L, & Laslett AM (2023). Can alcohol policy prevent harms to women and children from men’s alcohol consumption? An overview of existing literature and suggested ways forward. The International Journal on Drug Policy, 119, 104148. 10.1016/j.drugpo.2023.104148 [DOI] [PMC free article] [PubMed] [Google Scholar]
  21. Kerr WC, Williams E, Patterson D, Karriker-Jaffe KJ, & Greenfield TK (2021). Extending the Harm to Others paradigm: Comparing marijuana- and alcohol-attributed harms in Washington State. Journal of Psychoactive Drugs, 53(2), 149–157. 10.1080/02791072.2020.1847364 [DOI] [PMC free article] [PubMed] [Google Scholar]
  22. Laslett AM, Jiang H, & Room R (2017). Alcohol’s involvement in an array of harms to intimate partners. Drug and Alcohol Review, 36(1), 72–79. 10.1111/dar.12435 [DOI] [PMC free article] [PubMed] [Google Scholar]
  23. Laslett AM, Room R, Kuntsche S, Anderson-Luxford D, Willoughby B, Doran C, … Jiang H (2023). Alcohol’s harm to others in 2021: Who bears the burden?. Addiction, 118(9), 1726–1738. 10.1111/add.16205 [DOI] [PMC free article] [PubMed] [Google Scholar]
  24. Nayak MB, Patterson D, Wilsnack SC, Karriker-Jaffe KJ, & Greenfield TK (2019). Alcohol’s secondhand harms in the United States: New data on prevalence and risk factors. Journal of Studies on Alcohol and Drugs, 80(3), 273–281. 10.15288/jsad.2019.80.273 [DOI] [PMC free article] [PubMed] [Google Scholar]
  25. Orford J (1990) Alcohol and the family: An international review of the literature with implications for research and practice. In Kozlowski LT, Annis HM, Cappell HD, Glaser FB, Goodstadt MS, Israel Y, Kalant H, Sellers EM & Vingilis ER (Eds.), Research advances in alcohol and drug problems, Vol 10, (pp. 81–155). Plenum Press. [Google Scholar]
  26. Orford J, Natera G, Copello A, Atkinson C, Mora J, Velleman R, Crundall I, Tiburcio M, Templeton L, & Walley G (2005). Coping with alcohol and drug problems: The experiences of family members in three contrasting cultures. Routledge. 10.4324/9780203759608 [DOI] [Google Scholar]
  27. Rabiee R, Agardh E, Coates MM, Allebeck P, & Danielsson AK (2017). Alcohol-attributed disease burden and alcohol policies in the BRICS-countries during the years 1990–2013. Journal of global health, 7(1), 010404. 10.7189/jogh.07.010404 [DOI] [PMC free article] [PubMed] [Google Scholar]
  28. Rehm J, & Gmel G (2001). Applying principles of comparative risk analysis to substance abuse-related burden. European Addiction Research, 7(3), 95–97. 10.1159/000050726 [DOI] [PubMed] [Google Scholar]
  29. Rehm J, Gmel GE Sr, Gmel G, Hasan OSM, Imtiaz S, Popova S, Probst C, Roerecke M, Room R, Samokhvalov AV, Shield KD, & Shuper PA (2017). The relationship between different dimensions of alcohol use and the burden of disease-an update. Addiction, 112(6), 968–1001. 10.1111/add.13757 [DOI] [PMC free article] [PubMed] [Google Scholar]
  30. Reinhard SC, Gubman GD, Horwitz AV, & Minsky S (1994). Burden Assessment Scale for families of the seriously mentally ill. Evaluation and Program Planning, 17(3), 261–269. 10.1016/0149-7189(94)90004-3 [DOI] [Google Scholar]
  31. Romac D, Muslić L, Jovičić Burić D, Orban M, Đogaš V, & Musić Milanović S (2022). The relationship between alcohol drinking indicators and Self-Rated Mental Health (SRMH): Standardized European Alcohol Survey (SEAS). Healthcare, 10(7), 1260. 10.3390/healthcare10071260 [DOI] [PMC free article] [PubMed] [Google Scholar]
  32. Shield KD, Monteiro M, Roerecke M, Smith B, & Rehm J (2015). Alcohol consumption and burden of disease in the Americas in 2012: implications for alcohol policy. Revista Panamericana de Salud Publica [Pan American Journal of Public Health], 38(6), 442–449. [PubMed] [Google Scholar]
  33. Stata Statistical Software: Release 17. College Station, TX: StataCorp LLC.; 2021. [Google Scholar]
  34. Stockwell T, Andréasson S, Cherpitel C, Chikritzhs T, Dangardt F, Holder H, Naimi T, & Sherk A (2021). Time for carefully tailored set of alcohol policies to reduce health-care burden and mitigate potential unintended consequences?. Drug and Alcohol Review, 40(1), 17–18. 10.1111/dar.13185 [DOI] [PubMed] [Google Scholar]
  35. Streiner DL (2003). Starting at the beginning: an introduction to coefficient alpha and internal consistency. Journal of Personality Assessment, 80(1), 99–103. 10.1207/S15327752JPA8001_18 [DOI] [PubMed] [Google Scholar]
  36. Trangenstein PJ, & Jernigan DH (2020). The health impact of alcohol on american cities: Modeling the local burden of current alcohol use in one jurisdiction. Journal of Urban Health: Bulletin of the New York Academy of Medicine, 97(2), 260–270. 10.1007/s11524-019-00403-y [DOI] [PMC free article] [PubMed] [Google Scholar]
  37. United States Census Bureau. American Community Survey (ACS) Retrieved April 20, 2020, from https://www.census.gov/programs-surveys/acs/.
  38. US Burden of Disease Collaborators, Mokdad AH, Ballestros K, Echko M, Glenn S, Olsen HE, Mullany E, Lee A, Khan AR, Ahmadi A, Ferrari AJ, Kasaeian A, Werdecker A, Carter A, Zipkin B, Sartorius B, Serdar B, Sykes BL, Troeger C, Fitzmaurice C, … Murray CJL (2018). The State of US Health, 1990–2016: Burden of diseases, injuries, and risk factors among US states. JAMA, 319(14), 1444–1472. 10.1001/jama.2018.0158 [DOI] [PMC free article] [PubMed] [Google Scholar]
  39. US Preventive Services Task Force, Curry SJ, Krist AH, Owens DK, Barry MJ, Caughey AB, Davidson KW, Doubeni CA, Epling JW Jr, Kemper AR, Kubik M, Landefeld CS, Mangione CM, Silverstein M, Simon MA, Tseng CW, & Wong JB (2018). Screening and behavioral counseling interventions to reduce unhealthy alcohol use in adolescents and adults: US Preventive Services Task Force recommendation statement. JAMA, 320(18), 1899–1909. 10.1001/jama.2018.16789 [DOI] [PubMed] [Google Scholar]
  40. Voas RB, & Fell JC (2011). Preventing impaired driving opportunities and problems. Alcohol Research & Health : the Journal of the National Institute on Alcohol Abuse and Alcoholism, 34(2), 225–235. [PMC free article] [PubMed] [Google Scholar]
  41. Wali B, Ahmed A, Iqbal S, Hussain A (2017) Effectiveness of enforcement levels of speed limit and drink driving laws and associated factors–Exploratory empirical analysis using a bivariate ordered probit model. Journal of traffic and transportation engineering (English edition) 4(3):272–279. [Google Scholar]
  42. Wali B, Ahmed A, Iqbal S, & Hussain A (2017). Effectiveness of enforcement levels of speed limit and drink driving laws and associated factors: Exploratory empirical analysis using a bivariate ordered probit model. Journal of Traffic and Transportation Engineering (English Edition), 4(3):272–279. 10.1016/j.jtte.2017.04.001 [DOI] [Google Scholar]
  43. Wilkinson C, & Ritter A (2021). Applying a ‘harm to others’ research framework to illicit drugs: Political discourses and ambiguous policy implications. Addiction, 116(8), 1941–1946. 10.1111/add.15243 [DOI] [PubMed] [Google Scholar]
  44. Zarit SH, Reever KE, & Bach-Peterson J (1980). Relatives of the impaired elderly: Correlates of feelings of burden. The Gerontologist, 20(6), 649–655. 10.1093/geront/20.6.649 [DOI] [PubMed] [Google Scholar]

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